Job Title: Technical Lead – Forward Deployed Engineering (Banking & Financial Services)

Company: SimplifyX™

Industry: Health Technology | Artificial Intelligence | Enterprise Software

Location: Pune, India – On-site / Hybrid

Experience: 14–20 years

About SimplifyX™

SimplifyX is an AI-first product company building intelligent solutions for large health plans and banking and financial services enterprises across the US. Our Forward Deployed Engineering team works at the front line — embedded with clients, solving real-world problems with production-grade agentic AI.

About the Role

We are looking for a Technical Lead – Forward Deployed Engineering to lead applied AI delivery for large banking and financial services enterprises across the US. This is a senior, client-facing role at the intersection of enterprise AI engineering, BFS domain expertise, and technical leadership.

As a Technical Lead FDE, you will own the end-to-end delivery of production agentic AI solutions — from initial discovery and solution design through to deployment and client handoff. You will work directly with client engineering, business, and operations teams, lead a high-caliber engineering team, and engage with senior stakeholders to drive measurable business outcomes. You will also play a key role in shaping the FDE practice at SimplifyX as we scale.

What You Will Do

- Lead end-to-end delivery of production-grade agentic AI solutions for enterprise banking and financial services clients.
- Work directly with client teams — engineering, business, and operations — to understand real-world problems and translate them into scalable technical solutions.
- Architect and deploy multi-agent AI systems, RAG pipelines, LLM applications,



and document intelligence solutions in production environments.
- Engage with CXO and senior client stakeholders to present solutions, communicate progress, and drive adoption.
- Lead and mentor a team of Forward Deployed Engineers, owning technical direction, code quality, and delivery timelines.
- Drive solution design decisions including agentic framework selection, retrieval architecture, evaluation strategy, and observability.
- Define and enforce enterprise standards around security, data confidentiality, access controls, and auditability across client deployments.
- Contribute to product development thinking — help shape internal tooling, reusable frameworks, and IP that can be leveraged across client engagements.
- Represent SimplifyX externally in client meetings, technical workshops, and solution presentations.

What We Are Looking For

- 12–18 years of overall experience with a strong track record in AI/ML engineering and client-facing delivery.
- Degree from a premier institution (IIT or equivalent) in Computer Science, Engineering, or a related field.
- Hands-on experience building and deploying production multi-agent AI systems using frameworks such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or MCP.
- Deep expertise in LLM APIs (OpenAI, Anthropic Claude, Google Gemini) and RAG pipelines — including hybrid retrieval, re-ranking, embeddings, vector databases,



and evaluation frameworks.
- Solid Python engineering skills with experience writing production-quality code in shared, large-scale codebases.
- Proven experience working directly with enterprise clients — translating business problems into technical solutions and presenting outcomes to both technical and non-technical stakeholders.
- Experience leading and mentoring engineering teams in fast-paced, client-delivery environments.
- Hands-on experience with Docker, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Strong domain knowledge in banking, financial services, fintech, insurance, capital markets, lending, or payments.
- Excellent communication skills — written and verbal — with the ability to engage confidently at the CXO level.

Good to Have

- Experience co-founding or contributing to a technology product from inception to delivery.
- Hands-on experience with LLM fine-tuning, evaluation pipelines, or observability tools such as LangSmith or RAGAS.
- Certifications in AI/ML or financial services (FRM, CFA, or equivalent).
- Experience with agentic protocols such as MCP or A2A.
- Familiarity with TypeScript or Go in addition to Python.
- Prior experience in a Forward Deployed Engineer, Solutions Architect, or AI Consulting role.

Why SimplifyX™

- Lead real-world AI deployments for large US-based banking and financial services enterprises.
- Work at the cutting edge of agentic AI — multi-agent systems, MCP, RAG, and LLM fine-tuning in production.
- Own and shape the FDE practice at a rapidly scaling AI company.
- Work alongside deep domain experts and world-class engineers.
- High-visibility role with direct client engagement at senior levels.

📌 Technical Lead (Maharashtra)
🏢 SimplifyX
📍 Maharashtra