Agentic Engineer

Required Skills & Experience
3+ years of experience within Data Science and more recent experience with GenAI
Ability to create multi-agent orchestration using AutoGen, LangGraph, CrewAI, OpenAI Agents SDK, and orchestration platforms like Azure AI Foundry Agent Service or AWS Bedrock AgentCore
Soft skills: adaptable, creative, determined, pragmatic, curious, external passion, entrepreneurial, scrappy, non-traditional thinker, positive temperament, comfortable wearing multiple hats, dreamer, emotional intelligence.
Ability to: Rapidly prototype and build agentic solutions, Co-develop code with client engineering teams, Translate abstract requirements into functional software, Integrate AI models into business workflows, Refine solutions based on real-time feedback, Rapid delivery of functional AI MVPs, High-value, scalable intellectual property assets, Validated technical feasibility of AI concepts, Client readiness for operational ownership.

Day-To-Day Responsibilities:
60% Hands-on Engineering: Building production-grade AI/ML pipelines and reusable frameworks
20% Research
20% Architecture & Strategy: Designing for scalability—turning a specific client solution into a reusable product

Nice to Have Skills & Experience
Github that shows what personal coding projects they do on free time
Masters or PHD in Data Science

Job Description
(Remote) An AI Consulting firm is looking for an GenAI Innovation Engineer/GenAI Forward Deployed Engineer for greenfield product development. They will be building industry-specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create reusable frameworks that the company can coinvest in with pilot customers. This team is building a “start-up” within the company to be the GenAI brains of Perficient. They are hiring the smartest, most creative, “out of the box” thinkers, and passionate AI individuals to join their “incubator” team. This will be an “incubator” filled with GenAI engineers, GenAI Product Managers, etc. that will research and brainstorm the latest and greatest GenAI technologies and services so that they can recommend what Perficient should go to market with. There will be a lot of brainstorming, prototyping, and fun conversations. Personality is KEY here. They will also be joining customer meetings as the technical POC to help solve customers’ problems. The day to day will be 60% Hands-on Engineering: Building production-grade AI/ML pipelines and reusable frameworks, 20% Research, 20% Architecture & Strategy: Designing for scalability—turning a specific client solution into a reusable product.
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