Machine Learning / AI Contractor: 6-9 years (Advanced)

Job Description

Job Description

Additional Skills Requested for Role

Skill (optional)

Level (optional)

Criteria (optional)

AI Architect

Advanced (6-9 years experience)

Machine Learning Operations (MLOps)

Intermediate (3-5 years experience)

AWS Python

Advanced (6-9 years experience)

AWS Bedrock Engineering

Role: Tech Lead AI Engineering (AWS Bedrock Agent Core)

Location: Atlanta, GA/Hartford, CT/ St.Paul, MN

Responsibilities:

• Lead the architecture and technical direction of Agentic AI systems built on AWS Bedrock AgentCore, including Runtime, Gateway, Memory, and Identity components.
• Design and implement multi-agent orchestration workflows using frameworks such as LangGraph, LangChain, Strands, or CrewAI, incorporating:
• Tool and function calling

• Multi-step reasoning
• Human-in-the-loop workflows
• Own the end-to-end Retrieval-Augmented Generation (RAG) architecture, including:
• Data chunking strategies
• Embedding models
• Vector database indexing
• Retrieval optimization and tuning
• Re-ranking mechanisms

• Drive and govern Terraform-based Infrastructure as Code (IaC) for AWS AI workloads, including:

• Amazon Bedrock
• AWS Lambda
• API Gateway
• IAM
• VPC
• CloudWatch

• Build, review, and maintain production-grade Python services using FastAPI and Flask to expose Agentic AI and RAG capabilities.
• Implement Model Context Protocol (MCP) integrations to enable secure, standardized access for tools, agents, and external systems.
• Establish and enforce AI evaluation and observability standards using tools such as RAGAS, LangSmith, and custom evaluation frameworks to monitor:

• Hallucination rates
• Response quality
• Latency
• Cost efficiency

• Define and implement AI governance and security standards, including:

• Guardrails and safety controls
• Prompt injection prevention
• PII masking and data protection
• Audit logging and compliance measures

• Lead technical design reviews, architecture discussions, and code reviews across the AI engineering organization.

• Mentor and develop a team of AI/ML engineers by:

• Providing technical guidance
• Supporting career development
• Contributing to hiring and talent assessment

• Serve as the primary technical point of contact for clients and business stakeholders on AI architecture, design decisions, and solution strategies.
• Balance hands-on technical contributions with leadership responsibilities, remaining an active individual contributor while driving team success and technical excellence.

Required Qualifications:

• 9 years of overall software engineering experience, including 3 years of hands-on experience in production-grade Generative AI and Agentic AI solutions.
• Direct hands-on experience with AWS Bedrock AgentCore, with the ability to demonstrate and discuss specific implementation use cases and architectures.
• Strong expertise in Python development and Terraform for infrastructure automation and management.
• Proven experience in leading engineering teams and/or owning architecture and technical decision-making for large-scale projects.
• Deep hands-on experience with RAG (Retrieval-Augmented Generation) architectures and agent orchestration frameworks such as:

• LangGraph
• LangChain
• CrewAI
• Strands

• Experience working with:

• Model Context Protocol (MCP)
• Vector databases
• LLM evaluation and observability frameworks

• Demonstrated track record of effectively collaborating with clients, business stakeholders, and cross-functional teams, with strong communication and stakeholder management skills.

Preferred: Insurance/claims domain experience Forward Deployed Engineer (FDE) background AWS certifications (AI Practitioner, Solutions Architect, ML Specialty)

Mandatory Skillsets: AWS agent Core, Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.