Forward Deployed Engineer – Agentic Transformation & AI-Native Portfolio Management
Role Overview:
We're seeking a Senior Forward Deployed Engineer who has evolved from traditional ML engineering into the modern AI stack, bringing a consulting mindset to customer-facing delivery. You'll embed with clients to design, build, and ship production AI systems—translating ambiguous business problems into deployed solutions.
What You'll Do
- Embed directly with client teams to scope, prototype, and deploy AI-powered applications end-to-end
- Architect solutions using modern LLM tooling (agentic frameworks, RAG pipelines, orchestration layers) while applying rigorous ML fundamentals where they still matter
- Translate business requirements into technical roadmaps, then personally build the systems that deliver them
- Own the full lifecycle: discovery, POC, production hardening, evaluation, and handoff
- Serve as the technical bridge between client stakeholders and internal product/engineering teams
- Mentor client and pod engineers on AI-native development practices
What We're Looking For
Core background
- 8+ years hands-on engineering, with demonstrated transition from classical ML (feature engineering, model training, MLOps) to the modern generative AI stack
- Prior consulting or client-facing delivery experience, comfortable with ambiguity, shifting scope, and stakeholder management
- Strong software engineering fundamentals (production Python, APIs, cloud deployment)
Traditional ML foundation
- Experience building and deploying supervised/unsupervised models, feature pipelines, and evaluation frameworks
- Understanding of when classical approaches outperform LLMs (and the judgment to choose correctly)
Modern AI stack
- Hands-on experience with LLM application development: prompt engineering, RAG, agentic workflows, tool use, and function calling
- Familiarity with orchestration frameworks (LangChain, LlamaIndex, or equivalent), vector stores, and evaluation/observability tooling
- Experience shipping LLM systems to production, including latency, cost, and reliability tradeoffs
Consulting DNA
- Excellent written and verbal communication; can present to both engineers and executives
- Self-directed, able to lead engagements with minimal oversight
- Bias toward shipping working software over polished slides
What Success Looks Like
Within 6 months, you've independently led at least two client engagements from discovery to production deployment, established repeatable delivery patterns, and become a trusted technical advisor to client leadership.
Experience: 10+ Years
Note: This is a full-time position
Location: Onsite (Client Location)
Pay: $100,000.00 - $150,000.00 per year
Experience:
- Relevant: 7 years (Required)
Willingness to travel:
Work Location: In person
