GenAI Solution Engineer Jobs

GenAI Solutions Engineer

Be part of shaping the future of healthcare with AI. We’re at the beginning of a...

Location

Australia

Salary:

Not provided

Magentus

Expiration Date

Until further notice

Requirements

Minimum of 3-4 years of experience in a software or data engineering role
At least 1-2 years of focused, hands-on experience building with LLMs or Generative AI
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
Proficiency in Python and relevant libraries (e.g., Pandas, Pydantic) for data manipulation and processing
Experience with major cloud provider’s AI/ML offerings (AWS Sagemaker, Google Cloud AI Platform)
Solid understanding of algorithms, data structures, and software engineering fundamentals
Experience working in a collaborative software development environment using Git and agile methodologies

Job Responsibility

Develop AI-Powered Solutions: Design, build, and implement end-to-end solutions using Generative AI to address key business challenges, with a focus on intelligent data transformation and business process automation
Engineer Data-Centric Workflows: Architect and maintain scalable, robust workflows that ingest, process, and enrich complex data by applying AI and machine learning models
Oversee Application Lifecycle & Deployment: Own the full lifecycle of AI applications, from prototyping and development to deployment, scaling, and production management in a multi-cloud environment (AWS and GCP)
Ensure Solution Quality and Reliability: Establish and govern frameworks for validating the output of AI systems, defining and tracking metrics to ensure high standards of accuracy, reliability, and safety are consistently met
Drive AI Best Practices: Implement and manage MLOps/LLMOps principles to ensure version control, reproducibility, and continuous monitoring of deployed applications
Support knowledge-sharing and mentorship efforts within the team and across departments

What we offer

A chance to lead a flagship strategic initiative with executive visibility and long-term impact
The opportunity to shape new-to-market AI experiences in the healthcare space—one of the most meaningful, complex, and impactful industries
A supportive product-led culture where discovery, user value, and cross-functional collaboration are at the core of how we build
The ability to influence product, platform, and business strategy across the Magentus group

Lead AI Engineer - GenAI & RAG Solutions

As a Lead AI Engineer within our Data & AI practice, you will play a key role in...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

At least 3 years of experience in AI/ML projects, with at least 1 year in LLMs and generative AI
Experience with RAG architectures, vector search (e.g., Azure Cognitive Search, FAISS), embedding pipelines
Proficient in Python and familiar with prompt engineering, langchain, or similar frameworks
Experience with Azure OpenAI, Azure Functions, Azure Blob Storage
Understands challenges around data security, governance, and access in AI solutions (e.g., healthcare and public sector)
Fluent in Dutch, comfortable working in a bilingual context

Job Responsibility

Architect and implement RAG solutions in Azure (OpenAI, Cognitive Search, Blob Storage, Azure Functions, etc.)
Conduct intake workshops and translate business needs into AI solutions
Provide technical leadership within multidisciplinary project teams
Support MVP development around GPT, Copilot extensions, and embedded LLM solutions
Shape the AI roadmap for our clients

What we offer

Make a Difference with a Meaningful Career
Grow and Evolve Professionally
Unlock Relevant Career Opportunities
Achieve Work-Life Balance
Enjoy Generous Annual Leave
Travel in Comfort
Comprehensive Insurance Coverage
Attractive Compensation Package

Fulltime

New

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States , Raleigh

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

GenAI Engineer

We are seeking a GenAI Engineer for project-based engagements to develop and imp...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in AI Agent development and implementation
Strong knowledge of autonomous workflows for enterprise systems (SAP, Salesforce, ServiceNOW, Oracle) API exposure and integration for GenAI
Hands-on experience with GenAI secure API integration and data handling
Understanding of fully autonomous AI Agents and associated risk management planning
Proficiency in Apigee API management and gateway services
Experience exposing APIs from enterprise applications

Job Responsibility

Design, integrate and deploy fully autonomous AI Agents with enterprise platforms (SAP, Salesforce, ServiceNOW, Oracle) via APIs
Expose and manage APIs from global applications through Google Apigee
Develop fully autonomous agentic workflows, from MCP API exposure of enterprise solutions, through compliance and security checks, and API integration of genAI for E2E automation
Include a risk-management and guardrailing approach for highest autonomy AgenticAI

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

GenAI Solution Architect

Bright Vision Technologies is a forward-thinking software development company de...

Location

United States , Edison

Salary:

Not provided

Bright Vision Technologies

Expiration Date

Until further notice

Requirements

Proven experience as a Solution Architect in Professional Services environments
Expertise in Business Intelligence and Data Analysis
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Familiarity with either cloud-based analytics platforms or enterprise-scale data solutions
Understanding of project delivery frameworks and methodologies
Understanding of LLMs, RAG, and AI Agents
Basic prompt engineering
Familiarity with OpenAI API, LangChain, HuggingFace Transformers, Vector DBs (e.g., FAISS, Pinecone)
Use case validation for AI applications

Job Responsibility

Design and oversee the implementation of high-level architectural solutions
Collaborate with cross-functional teams to ensure alignment with business goals
Lead business intelligence and data analysis initiatives
Evaluate and recommend technology tools and platforms
Ensure adherence to project timelines and deliverables
Provide technical guidance and mentorship to the project team

Principal Engineer, GenAI Innovation

The full stack Principal Engineer will work with a team of other software engine...

Location

United States , Bellevue

Salary:

129400.00 - 233400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Engineering
7+ years of proven experience in full stack web development
Technical engineering experience
Crafting database schemas, writing SQL
3+ years of DevOps experience with infrastructure as code
4-7 years using cloud services from AWS, Azure, or GCP
2+ years of experience working with Generative AI models, APIs
Experience coaching and mentoring team members
Knowledge of HTML, CSS, Webpack, JavaScript, at least one front-end framework, and one back-end framework
Understanding of database modeling and SQL

Job Responsibility

Designs and builds full stack web solutions including both the back end and front end
Code Review and mentoring of other team members
Designs / crafts sophisticated scheduled jobs and micro-services defining new patterns and orchestrations
Designs / implements detailed data storage mechanisms using relational and non-relational data stores
Explores, creates and configures cloud services using infrastructure as code
Recommends new cloud services and patterns
Presents new ideas which improve an existing system/process/service
Collaborates with team to break down features into user stories and estimate them
Awareness of technology roadmap
Updates job knowledge by monitoring and understanding emerging engineering practices

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

GenAI Engineer

We are seeking a talented and experienced Generative AI Engineer to lead the dev...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in Machine Learning, Generative AI, or related fields
Strong leadership and communication skills
Advanced knowledge of integrating Generative AI into cloud infrastructures
Ability to design and implement AI strategies at scale
Proficiency in Python and relevant ML libraries
Experience with LangChain, Semantic Kernel, Hugging Face Transformers
Familiarity with Apache Lucene/Solr/LuceneSearch
Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3)
Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4)
Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview)

Job Responsibility

Independently develop GenAI-based applications tailored to product requirements
Implement scalable and high-performance AI solutions
Integrate AI applications with existing internal systems
Lead and collaborate with cross-functional teams to drive AI strategy and execution

What we offer

Inetum certified Top Employer Europe 2025
Opportunity to grow your expertise
Create digital impact quickly, easily and for the good of all

Fulltime

GenAI Solution Engineer

Bright Vision Technologies

Location:
United States , Houston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 06, 2025

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