[Hiring] AI/ML Architect @Damco Solutions

Role Description

Role: AI/ML Architect I Location – Remote

• 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

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

Requirements

• 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

Company Description

SAGE IT is proud to be an Equal Opportunity Employer. We embrace diversity and are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected factor under applicable law.