AI Platform Engineer - Enterprise-Scale & Governance

Compeer Financial; Mankato (MN); Híbrido; USD 133.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Flexible schedules

401k match up to 9%

Medical, dental, vision, HSA/FSA, life

Disability & AD&D insurance

Wellness program & EAP

Paid time off (vacation, sick, floats)

Learning & development

Mentorship programs

Committee opportunities

Membership/certification reimbursement

Descripción de la vacante

Compeer Financial is seeking a seasoned AI Platform Engineer Leader to drive enterprise AI platforms, governance, and scalable AI adoption across portfolios and services. You will oversee initiative delivery from discovery to operation, ensuring quality, security, and alignment with strategic goals.

You will mentor engineers, partner with risk, security, and legal teams, and drive architectural decisions, standards, and cost optimization while enabling business value and responsible AI practices.

Formación

• Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience.
• Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry.
• Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes.
• Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred.
• Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture.
• Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence.
• Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction.
• Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies.

Responsabilidades

• Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development.
• Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents.
• Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering.
• Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance.
• Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output.
• Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence.
• Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps.
• Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders
• Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly.

Conocimientos

AI platform engineering

LLMs

retrieval augmented generation

vector search

agent orchestration

Azure OpenAI

Azure AI Foundry

DevSecOps

CI/CD

security & compliance

technical leadership

Educación

Bachelor's degree in CS/Software Eng or related

Herramientas

Azure OpenAI

Azure AI Foundry

Descripción del empleo

Compeer Financial is seeking a seasoned AI Platform Engineer Leader to drive enterprise AI platforms, governance, and scalable AI adoption across portfolios and services. You will oversee initiative delivery from discovery to operation, ensuring quality, security, and alignment with strategic goals.

You will mentor engineers, partner with risk, security, and legal teams, and drive architectural decisions, standards, and cost optimization while enabling business value and responsible AI practices.