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