AI/ML Architect

AI Solution Development

Hands‐On AI Solution Development (Core Requirement)

• Design, develop, and implement AI / GenAI solutions using Python as the primary programming language
• Build production‐ready AI components, including:
• Data ingestion and preprocessing pipelines
• Prompt engineering and prompt orchestration layers
• Retrieval‐Augmented Generation (RAG) pipelines
• API‐based AI services and microservices
• Write and review Python code for:
• Model integration and inference
• LLM orchestration (agents, tools, workflows)
• Data transformations and feature engineering
• Debug, optimize, and harden AI solutions for performance, scalability, and reliability

Cloud & Hyperscaler AI Implementation

• Implement AI solutions using:
• AWS (Bedrock, SageMaker, Lambda, API Gateway, Amazon Q, OpenSearch, S3, etc.)
• Azure (Azure OpenAI, Azure AI Studio, Cognitive Services, Azure ML, Functions, etc.)
• Develop cloud‐native AI architectures leveraging Python‐based SDKs and APIs
• Integrate AI services with enterprise data platforms, applications, and security frameworks

Architecture & Delivery Leadership (Hands‐On)

• Own end‐to‐end AI solution architecture, from design through deployment
• Actively participate in:
• POCs and pilots (hands‐on build)
• Production deployments (implementation support)
• Code reviews and design reviews
• Define and implement MLOps / LLMOps patterns, including CI/CD, monitoring, and observability
• Ensure solutions meet Responsible AI, security, and compliance standards

Client & Stakeholder Engagement

• Work directly with client technical and business stakeholders to:
• Translate business requirements into working AI solutions
• Demonstrate prototypes and explain implementation decisions
• Serve as the technical AI face for clients—credible because of hands‐on depth, not just strategy

COE & Team Enablement

• Mentor onshore and offshore engineers through pair programming, code reviews, and design sessions
• Define reusable Python frameworks, accelerators, and templates for AI delivery
• Contribute to AI COE standards, reference architectures, and best practices

Pre‐Sales & Growth Support

• Support pre‐sales by:
• Building working demos and POCs (not just slides)
• Reviewing technical feasibility and effort estimates
• Contribute to proposals with implementation‐level credibility

Required Qualifications

• Strong hands‐on Python development experience (non‐negotiable)
• Proven experience building and deploying AI / ML / GenAI solutions, not just designing them
• Experience with:
• LLMs, prompt engineering, RAG, agents, embeddings
• REST APIs, SDK‐based integrations, microservices
• Cloud‐native development on AWS and/or Azure

Experience Profile

• 10–15+ years overall experience with significant recent hands‐on AI work
• 5+ years delivering AI / ML / Advanced Analytics solutions in production
• Experience working in client‐facing, onshore roles

Preferred (but not mandatory)

• Experience with FastAPI / Flask for Python‐based AI services
• Familiarity with vector databases, search, or document intelligence
• Hyperscaler AI certifications (AWS / Azure)

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.