Retrieval Engineer Jobs

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1d ago

AI Engineer/Architect

CGI Group, Inc. Lafayette, LA

Lafayette, LA

1d ago

$81k - $218k/yr Full time Backend Developer Agent Orchestration Ai Agents

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Job Description

Lead the design and delivery of enterprise agentic Generative AI capabilities for a Health Care client in a hybrid role based in Lafayette, LA.

Responsibilities

Own architecture and technical direction for enterprise agentic AI solutions, with a balance of hands-on engineering and design governance
Establish reusable patterns for multi-agent orchestration, MCP-enabled tool ecosystems, secure backend services, integration, observability, and production reliability
Architect and implement robust multi-agent orchestration using Python and LangGraph, including routing, dynamic handoffs, shared state management, long term memory, tool calling, error recovery, and follow-up conversation flows
Define target and reference architectures for agentic AI, retrieval augmented generation (RAG), model access, memory, evaluation, and human-in-the-loop controls
Create reusable architecture patterns, engineering standards, guardrails, and design review practices for enterprise AI solutions
Design, develop, and maintain MCP servers using FastAPI and Python to expose tools, resources, prompts, and custom capabilities within the agent ecosystem
Define standards for tool contracts, discovery, versioning, permissions, schema validation, error handling, and safe execution
Build and maintain custom tools and integrations connecting AI agents to internal APIs, enterprise data sources, and legacy systems
Design AI-powered chatbots and insights engines for healthcare and pharmacy benefit management workflows, including claims, pharmacy search, drug coverage, and prior authorization
Translate business and product requirements into scalable technical designs; guide solutions from proof of concept through production implementation
Select appropriate model, RAG, memory, orchestration, and tool use patterns based on quality, latency, cost, security, and compliance
Own architecture and development of high-performance FastAPI services, including streaming responses, asynchronous processing, custom middleware, rate limiting, and authentication and authorization strategies
Design resilient integration patterns for APIs and legacy platforms, including retries, idempotency, timeouts, circuit breakers, fallbacks, and auditability
Ensure solutions follow security, privacy, responsible AI, secrets management, input/output validation, and best practices for regulated data handling
Implement comprehensive observability using LangSmith with distributed tracing, monitoring, logging, evaluation, error handling, and performance tuning for AI agent workloads
Define service level objectives and quality measures for latency, answer quality, tool accuracy, task completion rate, reliability, and cost
Identify and prioritize technical improvements in agent performance, latency, tool accuracy, scalability, and overall system architecture
Collaborate cross-functionally with frontend, DevOps, product, security, data, and enterprise architecture teams to deliver end-to-end AI capabilities with high reliability
Lead architecture reviews, mentor developers, communicate design trade-offs, and provide implementation guidance for distributed delivery teams
Evaluate emerging AI technologies pragmatically and recommend adoption based on measurable business value and enterprise readiness
Own end-to-end solution architecture from discovery and design through implementation, production readiness, and adoption
Drive architectural simplification, reuse, and consistent engineering practices across AI implementations
Act as a hands-on technical leader validating critical designs and implementation patterns through working code and prototypes
Build trusted partnerships across product, engineering, DevOps, security, data, and enterprise architecture teams

Requirements

12+ years of professional software engineering and solution architecture experience, including hands-on delivery of enterprise applications and platforms
5+ years of AI/ML experience with recent hands-on delivery of production Generative AI and agentic AI solutions
Expert-level Python skills and strong experience designing scalable, secure, production-grade backend services using FastAPI
Hands-on experience with LangGraph (or comparable) for multi-agent orchestration, including routing, handoffs, shared state, memory, tool use, recovery, and conversational continuity
Experience designing and implementing MCP servers, including governing tools, resources, prompts, schemas, permissions, and lifecycle management
Deep understanding of LLMs, prompt engineering, RAG, embeddings, vector search, memory patterns, function/tool calling, model evaluation, and guardrails
Proven experience designing AI-powered chatbots, insights engines, or workflow automation integrating with enterprise APIs, data sources, and legacy systems
Strong knowledge of API and distributed system patterns, including streaming, asynchronous processing, middleware, rate limiting, authentication, authorization, resilience, and observability
Experience implementing LangSmith or equivalent AI observability for tracing, evaluation, debugging, and performance monitoring
Strong understanding of cloud-native architecture, containers, CI/CD, security, privacy, responsible AI, and operational support for regulated enterprise workloads
Demonstrated ability to lead architecture decisions, mentor engineering teams, facilitate design reviews, and communicate complex trade-offs to technical and business stakeholders

Technologies

Python
Large Language Models (LLMs)
Prompt engineering
Embeddings
Vector databases
Agent-based architectures
LangGraph
MCP servers
FastAPI
LangSmith
Retrieval augmented generation (RAG)
Vector search
Function/tool calling

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Wellbeing programs

Compensation: USD 80,600 - 218,200 per year.

Work model & location: Hybrid in Lafayette, LA.

Other details: This role can be performed from any Client site locations listed as Bloomfield, CT, Raleigh, NC, or Lafayette, LA under a hybrid working model. CGI may be required by law in some jurisdictions to include a reasonable estimate of the compensation range; the reasonable estimate for this role in the U.S. is $80,600.00 - $218,200.00.

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