Note: The job is a remote job and is open to candidates in USA. Computer Services, Inc. (CSI) is a forward-thinking software provider helping community and regional financial institutions with open and flexible technologies. The VP - AI Engineering will own the central AI engineering platform and be responsible for delivery velocity, product strategy, developer empowerment, and leadership of a high-performing team.
Responsibilities
- Own the delivery-velocity mandate
- Set and hit the ~50% delivery-acceleration target: establish the Year-0 baseline and the DORA-style metrics (lead time for change, deployment frequency, change-failure rate, time to restore), and report progress to the CDAO and pillar peers
- Translate individual adoption into organizational throughput — redesign team scope and workflow around human judgment plus agent execution, not individual task completion
- Own the strategy and roadmap for the central AI platform — model routing, connectors, MCP servers, and the build-vs-buy framework that decides when to use Bedrock or Foundry rather than direct LLM access
- Treat the Harness as a product, not infrastructure — named services, SLAs, adoption metrics, and a backlog driven by engineering-team needs — while managing token and cost optimization across LLM usage
- Build and maintain the agent framework and the shared library of skills, connectors, and agents; set the standards for agent and connector architecture so teams compose rather than rebuild
- Establish the target SDLC and common AI code / delivery tooling; define golden paths and the guardrails, gates, and review patterns that make AI-assisted and agentic development safe at bank-grade standards
- Own eval and LLMOps infrastructure — versioning, regression and faithfulness testing — as the gate for shipping AI capabilities
- Embed AI security, data-classification enforcement, audit / logging, and use-case risk review at the platform layer, in close partnership with Information Security and governance
- Own the tooling-access strategy and the enablement engine — onboarding, office hours, and change management — so adoption is measured and real, not nominal. The unlock is a real result on day one, not training
- Partner with the Product Operations and other teams to keep practices current and capture institutional knowledge before it is lost
- Build, develop, and lead a high‑performing organization of delivery and operational leaders, fostering accountability, continuous learning, and readiness for new products and enhancements
- Partner cross‑functionally to align with company strategy, product evolution, and enterprise standards
Skills
- 10+ years of experience in senior leadership of an AI/ML platform, applied-AI, or engineering-productivity organization at meaningful scale, with accountability for delivered outcomes — not research output alone
- A track record of raising software delivery velocity (lead time, deployment frequency, change-failure rate) through platform and developer-experience investment
- Deep, current fluency in LLM application engineering — agent frameworks, RAG, evals / LLMOps, prompt and model lifecycle, and cost / latency management at production scale
- Hands-on experience operationalizing AI-assisted and agentic software development with the quality and security guardrails that make it safe
- Experience operating to bank-grade security, compliance, and audit requirements (financial services, fintech, or comparably regulated)
- Preferred experience in building an internal AI agent platform consumed by multiple product teams — with capability boundaries, permissioning, state / memory across sessions, and rollback for agent-caused failures
- Explicit build-vs-buy judgment across the model-platform landscape (Amazon Bedrock, Azure AI Foundry, Anthropic Claude, Microsoft Copilot, Atlassian Rovo)
- Experience standing up MCP-based connector and agent ecosystems
- Familiarity with the community-bank and credit-union market and the competitive set (Fiserv, FIS, Jack Henry, Q2, Alkami)
Benefits
- Eligibility for incentive awards based on both individual and business performance
- A comprehensive range of benefits
Company Overview