Senior Cloud Solutions Architect (AI/ML Focus) Job at Dutech Systems (Austin)

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Belgrade, Novi Sad

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Poland , Wroclaw

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United Kingdom , Greater London

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Technical Discovery & Solution Design: Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Cloud Architecture & Technical Leadership: Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

Fulltime

Senior Solution Architect - Data Platform & Analytics

The Senior Solution Architect - Data Platform & Analytics will be responsible fo...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience designing and implementing cloud data platforms in large enterprises
Strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks
Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints)
Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake
Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms
Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure
AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns
Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark)
Experience with reporting/semantic layer tools such as Power BI or Tableau
Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka

Job Responsibility

Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization
Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics
Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards
Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality
Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics
Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments
Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights
Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments
Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions
Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement

Fulltime

Head of Engineering

Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undert...

Location

Sweden , Stockholm; Malmö

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions

Job Responsibility

Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Director - AI

The Director -AI in Delivery leads multiple teams and managers, ensuring each gr...

Location

United States

Salary:

168400.00 - 252600.00 USD / Year

3Cloud

Expiration Date

Until further notice

Requirements

12+ years of experience delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise scale
7+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts at program scale
Proven ability to oversee delivery of complex, enterprise-scale AI/ML programs
Deep expertise across most of the following: Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows
applying tool/function calling, planner and agent-based patterns, and workflow automation engines
Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus
applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance
Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches
using golden datasets, hallucination and groundedness validation, toxicity and safety testing
building telemetry and feedback loops

Job Responsibility

Maintain a clear view of each team member's delivery commitments, growth plans, and internal contributions
Develop and grow team members through regular coaching, clear expectations, and constructive feedback. Build a culture of trust, inclusion, and collaboration
Monitor team health, morale, and workload balance, acting early to address engagement or performance concerns in partnership with practice leadership
Maintain regular one-to-one connections with each team member, provide clear feedback, and help them remove blockers related to client work, pursuits, or internal initiatives
Oversee staffing and resource alignment across teams, balancing utilization, development goals, client needs, and sustainable workloads
Communicate practice priorities and organizational objectives clearly, ensuring teams understand how their work contributes to broader organizational goals
Define interview standards and mentorship strategies, training others to apply them consistently and improving hiring outcomes and talent growth at scale
Create and maintain development plans for team members, including stretch assignments, shadowing, certifications, and opportunities for external visibility
Lead or support performance reviews, promotion recommendations, and compensation input for your teams, using consistent standards that reflect both impact and behavior
Represent your teams in leadership forums, communicate expectations and decisions clearly back to the group, and bring forward patterns, risks, and successes that should shape practice strategy

What we offer

Flexible work location with a virtual first approach to work!
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options to allow you the choice to elect what works best for you!
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role

Fulltime

Senior Cloud Solutions Architect (AI/ML Focus)

Dutech Systems

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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