Job Description

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Overview:

We are seeking an experienced and forward-thinking

AI Lead Engineer

to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of

GenAI-powered agentic systems

that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You'll serve as the

technical lead

within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts.

Key Responsibilities

Own the

technical design and architecture

of GenAI agent workflows within the Business Pod Serve as a

hands-on developer

, actively contributing to the design, coding, and delivery of production-grade agents and tools Lead

code and design reviews

, ensuring alignment with architectural standards and platform best practices Collaborate with the

AI Ops Core Pod

to adopt and influence reusable assets, frameworks, and integration patterns Design and implement

LLM-powered agent workflows

using frameworks such as LangChain, LangGraph, or CrewAI Develop

prompt chains

, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution Integrate agents with

enterprise systems

(e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues Build and manage

agent lifecycle components

, including initialization, memory/state handling, and fallback logic Implement and consume

vector store integrations

, prompt templates, and retrieval-augmented generation (RAG) techniques Ensure workflows are

robust, secure, and observable

, with proper logging, monitoring, and exception handling Partner with Product Managers, SMEs, and QA to

translate business processes into agentic workflows

and iterate based on feedback Contribute to the

automation of testing, deployment, and validation pipelines

for AI agents Maintain thorough

documentation of agent behavior, design decisions, and integration logic

for operational readiness and knowledge transfer

Key Skills:

Bachelor's or master's degree in computer science, Software Engineering, or a related technical field 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions Strong proficiency in

Python

, with hands-on experience using

FastAPI

, REST APIs, and background task orchestration Deep familiarity with

agentic frameworks

such as

LangChain

,

LangGraph

,

CrewAI

,

ReAct

, or similar Understanding of

LLM orchestration

, including prompt design, tool usage, context management, and agent memory Experience integrating with

enterprise systems

via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks Solid foundation in

distributed system design

, including state management, retries, error handling, and resilience Experience with

business process automation

or workflow automation in real-world environments Comfortable working with

SQL/NoSQL databases

, including data modeling and validation Knowledge of

containerization

(Docker),

orchestration platforms

(Kubernetes), and deployment to

cloud platforms

(Azure, AWS, or GCP) Understanding of

security concepts

including authentication (OAuth2), authorization, and secure API integration Exposure to

multi-agent patterns

(e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus

Nice to Have

Contributions to open-source agent frameworks or AI tooling. Experience working with observability and monitoring tools to track agent performance. Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.



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