Senior Engineer – AI Monitoring & Control Capabilities
About The Position
This critical-delivery role engineers and operates vendor applications end to end within an on-premises OpenShift platform, supporting enterprise AI monitoring, controls, and governance commitments. The engineer develops and integrates application components, deploys and scales containerized services, and provides production support to keep them reliable, performant, and audit-ready. The role supports AI Agent operations. Its applications provide guardrails and observability for LLM-powered systems across the enterprise, including model observability, traceability, and evaluation to meet risk management, compliance, and regulatory expectations. The role calls for strong engineering discipline, sound operational judgment, urgency, the ability to learn new tools and environments quickly, a pragmatic build-and-operate mindset, and the ability to lead cross-functional initiatives without formal authority.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, MIS, a related field, or equivalent practical experience.
- 13+ years of software engineering experience designing, building, and scaling production applications.
- Strong proficiency in Python, including common data and ML libraries.
- Hands-on experience deploying and operating containerized workloads on OpenShift or Kubernetes.
- Proven experience taking LLM- or RAG-based applications into production and maintaining them at scale.
- Experience building APIs and integrating third-party platforms.
- Working experience with AI Agents development, including OpenAI APIs and LangChain.
- Practical understanding of inference performance optimization.
- Experience applying guardrails, observability, and model-based evaluation to AI applications.
- Experience delivering within Agile and Agile-at-scale environments against firm timelines.
- Proven ability to influence outcomes and meet delivery commitments in a matrixed organization without direct authority.
- Strong problem-solving, communication, and stakeholder management skills.
Nice To Haves
- Experience delivering technology solutions within a large, complex, highly regulated enterprise, preferably financial services.
- Ability to learn quickly and ramp up on new technologies and tools.
- Experience with annotation pipelines, feedback loops, fine-tuning, and model alignment techniques.
- Familiarity with prompt versioning and lifecycle management.
- Experience with vendor-provided guardrail and observability platforms such as Galileo, LangSmith, and Splunk.
- Working knowledge of additional AI Agents frameworks such as LlamaIndex or Haystack.
- Familiarity with evaluation and guardrails for agentic, multi-step AI workflows.
- Collaborative and self-directed work style supporting engineering teams.
Responsibilities
- Own delivery of critical vendor applications from build through production support in a fully on-premises OpenShift environment, meeting committed milestones and quality expectations.
- Build and maintain APIs and integrations connecting vendor guardrail and observability platforms to enterprise AI Agent solutions.
- Establish and manage workflows that monitor performance, safety, latency, throughput, quality, and guardrail effectiveness in support of AI risk and control objectives.
- Implement and maintain model evaluation frameworks using LLM-as-a-Judge and specialized language models.
- Develop observability dashboards and alerting using Grafana or similar tools, producing audit-friendly evidence and traceability.
- Troubleshoot production issues and improve scalability, resilience, and operational efficiency to sustain availability for critical business services.
- Contribute to evaluation methodologies and guardrail controls for agentic and multi-step AI systems.
- Lead and mentor engineers, establish development standards, and drive process improvements across cross-functional delivery.
- Provide input into financial planning, budget tracking, forecasting, and management of supported applications and services.
Benefits
- Industry-leading benefits
- Access to paid time off
- Resources and support for employees
- Eligibility to participate in the annual discretionary incentive plan
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
