Note: The job is a remote job and is open to candidates in USA. Exodus Integrity Services is an IT Staffing & Consulting company seeking a Lead AI Engineer to define and drive the technical direction of their AI/ML systems. The role involves shaping architecture, leading complex system design, and making high-stakes technical decisions to scale AI work across clients.

Responsibilities

• Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production
• Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale (e.g., SQS, EventBridge)
• Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses
• Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms
• Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems
• Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
• Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations
• Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on
• Engage with product, engineering, and data teams to align AI work with broader business priorities
• Define and champion AI engineering standards that shape how the organization builds and operates AI systems
• Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders
• Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight

Skills

• Must be a US Citizen and located in the United States
• 7+ years of experience in AI/ML engineering
• Strong proficiency in Python
• Strong software engineering background, including system design, API design, code quality, and strong unit testing practices
• Experience designing and working with distributed systems and event-driven architectures
• Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility
• Experience with Amazon Quick, ServiceNow integration, Jira integration, AWS Bedrock, Agentic AI/ML (prompt engineering, agent development), Natural language querying / analytics
• Strong stakeholder communication skills, with the ability to translate technical depth across audiences
• In-depth experience with AWS, especially AWS GenAI offering; working knowledge of other cloud platforms
• Familiarity with both SQL and NoSQL databases, including scalable design patterns
• Experience with workflow orchestration tools and asynchronous system operations
• Hands-on experience with LLM systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG architectures, vector databases, embeddings, and streaming LLM responses
• Experience with containerization (e.g., Docker) and cloud-native AI architecture patterns
• Exposure to AI governance and compliance considerations in production environments

Company Overview