Technical Leadership & Architecture

• Own and define enterprise‑ grade GenAI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multi‑model routing strategies.

• Drive production readiness for GenAI solutions, ensuring scalability, resilience, observability, and cost efficiency.

• Lead complex architectural decisions spanning data ingestion, vector databases, model selection, guardrails, latency optimization, and API scalability

• Establish reference architectures and reusable patterns to accelerate GenAI adoption across Lines of Business.

• Enterprise Use‑ Case Delivery (FDE Model)

• Act as a Forward Deployed Principal Engineer, partnering directly with business and product teams to deliver high‑impact GenAI use cases from ideation to production.

• Translate business problems into well‑ defined AI system designs and NFRs, ensuring measurable outcomes.

• Troubleshoot and resolve complex production issues across non‑prod and prod environments.

• Influence platform roadmap by feeding real‑world use‑case requirements back into central AI services (e.g., Tachyon).

• Governance, Risk & Compliance

• Ensure all AI solutions align with risk, cyber, and model governance standards, including AIRR, data protection, and guardrails.

• Partner with Cyber, MRM, Legal, and Risk teams to design compliant AI patterns without slowing delivery.

• Embed security, privacy, and ethical AI principles into solution design by default.

• Organizational Influence & Mentorship

• Serve as a recognized GenAI expert across the enterprise—regularly consulted by engineering, architecture, and leadership teams.

• Mentor senior and staff‑level engineers; raise the technical bar across teams.

• Contribute to internal communities of practice, architecture reviews, and executive‑level technical discussions.

• Represent GenAI capabilities in internal innovation forums and knowledge‑sharing sessions

Required Qualifications

• 7+ years of software engineering experience, with significant depth in AI/ML or data‑ intensive systems

• 2+ Years of experience in Python programming language.

• 2+ Proven experience designing and delivering production‑ scale Generative AI systems in an enterprise environment.

• 2+ years of experience in:

• LLMs, prompt engineering, and RAG architecture

• Vector databases and semantic search

• API‑driven, cloud‑native architectures

• Distributed systems and performance optimization

Preferred Qualifications

• Strong understanding of non‑ functional requirements security, scalability, resiliency, observability, and cost management.

• Demonstrated Principal‑ level impact influence across multiple teams, platforms, or business units.

• Experience operating in highly regulated environments (financial services strongly preferred).

• Hands‑on experience with agentic AI frameworks and multi‑model orchestration.

• Prior experience in a Forward Deployed Engineer or embedded engineering model

• Ability to communicate complex technical concepts clearly to senior executives and non‑ technical stakeholders

Compensation, Benefits and Duration

Minimum Compensation: USD 64,000

Maximum Compensation: USD 225,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.

This position is available for independent contractors

No applications will be considered if received more than 120 days after the date of this post