Principal Engineer, Software Development Engineering; Apps

Job Description

We are hiring a Principal Engineer to serve as an architect for Nexus, an Enterprise AI platform for engineering workflows. This role partners with the existing platform architect to set technical direction across Nexus's hybrid on-prem and cloud architecture, lead design for agentic systems, MCP ecosystem, LLM gateway, memory and knowledge layers, and ensure the platform scales securely and reliably as adoption grows across FPG.

• Architecture Leadership:
  Co‑own end-to‑end architecture for the Nexus platform across hybrid on‑prem and cloud environments. Drive design decisions for agentic orchestration, MCP ecosystem, LLM gateway, memory and knowledge systems, observability, and platform applications.
• Technical Strategy:
  Define multi‑quarter technical direction in partnership with engineering leadership. Translate platform vision into actionable architecture roadmaps that balance velocity, scalability, security, and operational maturity.
• Agentic Systems Design:
  Architect production‑grade agentic workflows using Lang Graph, Deep Agents, and modern agent frameworks. Establish patterns for tool use, multi‑agent coordination, evaluation, and safety.
• Platform Standards:
  Establish and evolve standards for service design, API contracts, security, identity, observability, and developer experience across Nexus components and purpose‑built applications.
• Cross‑Functional Influence:
  Partner with Info Sec, Cloud Infrastructure, IAM, Networking, and product engineering teams. Lead architecture reviews, represent the platform in enterprise architecture forums, and shepherd designs through governance processes (ISAR, STARC, CAB).
• Technical Mentorship:
  Coach Staff and Senior engineers on system design, distributed systems, AI engineering, and production excellence. Raise the technical bar across the team through design reviews, code reviews, and architecture deep dives.
• Risk and Reliability:
  Identify architectural risks early, drive remediation, and lead the platform's evolution toward stronger environment separation, observability, and incident response maturity.
• Innovation:
  Track advances in LLMs, agentic frameworks, and AI infrastructure. Evaluate emerging technologies and lead targeted POCs that translate into platform capabilities.

• Master's or PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field.
• 7+ years of professional software engineering experience, including 5+ years in architecture or technical leadership roles, with demonstrated impact designing and operating large‑scale AI/ML, platform, or distributed systems in production.
• Deep proficiency in Python; strong working knowledge of Type Script/JavaScript, React, and at least one systems language (Go, Java, or C++).
• Expert‑level understanding of modern AI/ML stacks:
  Lang Graph, Lang Chain, Llama Index, PyTorch or Tensor Flow, and the Hugging Face ecosystem.
• Strong grasp of LLM internals, transformers, embeddings, RAG architectures, fine‑tuning approaches, and evaluation methodologies.
• Production experience with LLM providers and gateways (Anthropic, OpenAI or equivalent), and deep familiarity with the Model Context Protocol (MCP) and agentic design patterns.
• Proven ability to design distributed systems, microservices, REST/Graph
  
  QL APIs, event‑driven architectures, and high‑throughput data pipelines.
• Strong experience with Kubernetes, Docker, and operating workloads in hybrid on‑prem and cloud topologies.
• Working knowledge of relational (Postgre
  
  SQL), No
  
  SQL (Mongo
  
  DB, Elasticsearch), in‑memory (Redis / Valkey), and vector databases, with judgment on when to use each.
• Solid background in enterprise security and identity: OAuth, OIDC, SSO, RBAC, secrets management, and data governance.

• Excellent written and verbal communication, with the ability to influence engineering, product, and executive audiences.
• Demonstrated ability to lead through influence across organizational boundaries and align diverse stakeholders behind a technical direction.
• Strong product sense and pragmatic judgment on tradeoffs between speed, scalability, and long‑term…