ML Solution Architect Jobs

New

ML Solution Architect

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia; Costa Rica , Medellín; Bogotá; Cali

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure)
Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences
Technical sales or pre-sales experience with cloud and big data, and ML solutions
Strong leadership and team collaboration abilities
Strategic thinking with a focus on delivering measurable business value
Proven ability to build strong relationships with customers and act as a trusted advisor
Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack
Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
Proven experience with data lakes, data warehouses, and real-time data analytics
Proven experience with microservice architecture and containerized deployment options

Job Responsibility

Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms
Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals
Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor
Lead technical workshops, training sessions, and presentations
Define and execute data lifecycle processes: ingestion, storage, processing, and visualization
Collaborate with business units and stakeholders to align solutions with business goals
Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework)
Lead cross-functional teams, providing mentorship and guidance to technical talent
Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning
Drive backend/ML services best practices for scalable and maintainable solutions

New

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Ability to architect end-to-end ML systems for diverse business problems
Deep understanding of the full ML lifecycle from data to deployment
Experience designing scalable, production-grade ML architectures
Ability to evaluate technical approaches (cost, performance, complexity)
Quickly assess if ML is an appropriate solution for a problem
Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
Strong experience in architecting LLM-based applications
Foundation in traditional ML algorithms and when to use them
Understanding of neural network architectures and applications
Knowledge of production ML infrastructure and DevOps practices

Job Responsibility

Lead technical discovery sessions with prospective clients
Understand client business problems and translate them into ML solutions
Design end-to-end ML architectures and technical proposals
Create compelling technical presentations and demonstrations
Estimate project scope, timelines, cost, and resource requirements
Support General Managers in winning new business
Serve as the primary technical point of contact for clients
Manage technical stakeholder expectations
Present technical solutions to both technical and non-technical audiences
Navigate complex organizational dynamics and conflicting priorities

New

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Ability to architect end-to-end ML systems for diverse business problems
Deep understanding of the full ML lifecycle from data to deployment
Experience designing scalable, production-grade ML architectures
Ability to evaluate technical approaches (cost, performance, complexity)
Quickly assess if ML is an appropriate solution for a problem
Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
Strong experience in architecting LLM-based applications
Foundation in traditional ML algorithms and when to use them
Understanding of neural network architectures and applications
Knowledge of production ML infrastructure and DevOps practices

Job Responsibility

Lead technical discovery sessions with prospective clients
Understand client business problems and translate them into ML solutions
Design end-to-end ML architectures and technical proposals
Create compelling technical presentations and demonstrations
Estimate project scope, timelines, cost, and resource requirements
Support General Managers in winning new business
Serve as the primary technical point of contact for clients
Manage technical stakeholder expectations
Present technical solutions to both technical and non-technical audiences
Navigate complex organizational dynamics and conflicting priorities

New

Solution Architect - Digital Services

We are looking for a visionary Solution Architect to lead enterprise-grade digit...

Location

India , Chennai City Corporation

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or related field
Strong programming experience in .NET, Python, Java, or Node.js
Hands-on experience with AWS or Azure, microservices, micro frontend, API gateways, and messaging systems
Knowledge of GenAI apps (LLMs, embedding, prompt chaining), ML workflows, REST APIs, and event-driven architectures
Experience with database modernization, schema optimization, migration tools (Flyway, Liquibase), and cloud-native database platforms
Familiarity with containerization (Docker), orchestration (Kubernetes), and secure SDLC practices
Awareness of cloud security, compliance, and cost optimization
Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices
Experience conducting security assessments (SAST, DAST, vulnerability scanning)

Job Responsibility

Lead solution architecture and design for key projects, delivering accurate estimates and coordinating with architects across solution, infrastructure, and data disciplines
Collaborate with delivery teams, production support, QA, infrastructure, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions
Define and enforce technical best practices, standards, and security guidelines while conducting quality assurance, automated code review, and design/code reviews
Mentor engineers and guide teams through complex technical challenges, promoting modular design, secure coding practices, and professional growth
Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration, including migration from legacy RDBMS to cloud-native or NoSQL solutions
Integrate AI/ML and GenAI components (LLMs, embedding, vector databases, prompt engineering) into enterprise workflows and design innovative GenAI-enabled applications
Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently, ensuring alignment with business objectives

What we offer

Opportunity to architect next-generation enterprise solutions integrating GenAI, cloud-native, and modernization strategies
Collaborate with expert teams across engineering, AI/ML, and cloud practices
Leadership visibility, continuous learning opportunities, and access to certifications

Fulltime

AI/ML Enterprise Solution Architect

As an AI/ML Enterprise Solution Architect – HPE and NVIDIA Alliance (APAC) for t...

Location

Singapore , Central Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

8+ years in technical architecture, presales, or solution architecture roles within AI, HPC, or data infrastructure
Strong working knowledge of NVIDIA technologies (DGX, HGX, NVLink, CUDA, NGC, Ai tool with nim, nemo, Omniverse platform, etc.)
Experience architecting AI or HPC solutions in enterprise or cloud/hybrid environments
Comfortable engaging both technical and executive stakeholders, from CIOs to principal engineers
Familiarity with AI frameworks (TensorFlow, PyTorch), container orchestration (Kubernetes), and MLOps a strong plus
Ability to influence regional teams across multiple cultures and time zones
Exceptional communication and storytelling skills to translate technical value into business outcomes
Bachelor’s or master’s degree in computer science, Engineering, or related field
MBA a plus

Job Responsibility

Act as the technical lead for NVIDIA solutions (HGX, NVIDIA AI Enterprise, CUDA stack) within the HPE alliance GTM in APAC
Collaborate with regional sales teams to position HPE-NVIDIA joint solutions in key customer opportunities
Support lighthouse accounts and pilot programs by providing architecture guidance, proof-of-concept oversight, and solution differentiation
Partner with NVIDIA and HPE technical teams to localize and scale global offerings such as AI Factory, RAG blueprints, and PCAI
Deliver technical enablement across HPE and NVIDIA field sellers, presales engineers, and partner ecosystems
Serve as a trusted advisor to customers on emerging AI infrastructure needs, workload optimization, and deployment patterns
Drive technical alignment with NVIDIA’s solution architects and GPU-accelerated software stack teams
Provide feedback from the field to influence joint solution roadmaps, content development, and strategic investments

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

New

AI ML Architect

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

New

Partner Solutions Architect

As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll ...

Location

United States , New York; San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
Familiarity with LLM frameworks, ML tooling, or data science background
Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
Exceptional communication skills across C-suite, engineering teams, and business stakeholders
Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales

Job Responsibility

Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
Identify high value partners to develop relationships and build technical integrations with reference architectures
Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
Serve as escalation point for complex technical issues and unblock strategic customer deals
Build production-ready demos, reference architectures, and integrations with partner platforms
Develop joint solutions for high-value industry-specific GenAI applications
Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
Lead partner hands on workshops and developer enablement sessions
Drive technical engagement in partner slack channels and developer communities

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

New

Senior AI Solutions Architect

We’re hiring a hands-on Senior AI Solutions Architect to help shape the future o...

Location

United States , Austin; Reston; Washington

Salary:

200000.00 - 210000.00 GBP / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

Proven experience shipping Generative AI solutions in production (not just proofs of concept)
Strong Python coding skills (comfortable building glue code, evaluators, metrics)
Hands-on knowledge of GenAI toolsets: retrieval-augmented generation, orchestration/agents, fine-tuning, vector search
Experience designing & deploying ML solutions on AWS, Azure, or GCP
Ability to communicate complex architectures clearly with clients and stakeholders

Job Responsibility

Turn ideas into outcomes — design, scope, and deliver production-ready GenAI solutions with clear success metrics (quality, latency, ROI, adoption)
Prototype & productionise — retrieval, agent, and fine-tuning workflows
integrate APIs & data sources
stand up evaluations and dashboards
Own the client journey — from discovery to delivery, guiding customers through architecture decisions with credibility and clarity
Shape best practice — codify patterns, publish explainers, and share pragmatic insights back to Product & GTM

What we offer

bonus
equity

Fulltime

ML Solution Architect

Provectus

Location:
Colombia; Costa Rica, Medellín ▼
Bogotá
Cali

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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