Role: Sr. AI Architect/ Technical Lead “Technical
Lead/ Architect – AI Platforms”
Location: Abbott Park, IL – 100% Remote (Must
live in the Chicago area, NO out of state remote candidates)
00 Abbott Park, North Chicago, Illinois, 60064
Duration: 12+ months (Potential for additional
extensions)
Number of openings: 2
Job Description:
We need a Sr. AI Architect/
Lead with at least 8+ years of IT experience. This resource must have direct
experience with AI product roadmap and outcomes.
Top Desired
Skills:
We are seeking a Senior AI/ML
Architect or Technical Lead who began their career as a hands-on Software
Engineer and has evolved into an AI-focused leader. The candidate should
have a strong foundation in modern software development, with expertise in
technologies such as Java, Python, Go, React, and cloud-native architectures,
before transitioning into building and leading AI/ML solutions.
This individual should be a proven builder, capable of designing, developing,
and scaling AI products and platforms from the ground up rather than simply
supporting established environments. Experience delivering solutions for
Fortune 500 organizations is strongly preferred, particularly within complex,
highly regulated enterprise environments. However, a combination of large
enterprise and startup experience would be ideal, as the role requires both
strategic thinking and hands-on execution.
The successful candidate will be comfortable operating across architecture,
engineering, and AI/ML domains, translating business challenges into scalable
technical solutions while driving innovation and adoption across the
organization.
Job
Summary
Technical
Lead/Architect - AI Platforms
Job
Summary:
This
hands-on technical leadership role is accountable for the architecture,
engineering, and reliability of an enterprise AI Platform. The role supports
the control plane and paved road that enables teams to build, deploy, and
operate enterprise GenAI and agentic systems efficiently and safely. As the
technical counterpart to the Product Manager, AI Platform, this position
collaborates with AI Product Managers, AI/Agentic Engineering, Applied Data
Science, security, and division engineering teams. The role is Director-mapped
and begins as a player-coach, with responsibility to grow and lead a platform engineering
team.
Responsibilities:
·Define
and evolve the reference architecture for the AI control plane, paved-road
services, SDKs, templates, and developer experience.
·Design
and build a model gateway that supports multi-provider routing, failover, quota
and rate limiting, tenant isolation, key management, token accounting, and cost
allocation.
·Deliver
a GenAI runtime for model serving, retrieval-augmented generation, context and
memory stores, vector and hybrid search, sandboxed tool or code execution,
secrets brokering, and tool interoperability.
·Own
the technical design of model, agent, prompt, and tool registries, including
versioning, lineage, approval and promotion gates, deprecation, and
auditability.
·Build
platform observability and traceability for prompts, model calls, tool calls,
and agent steps using distributed tracing with evaluation, quality, drift,
latency, and cost signals.
·Implement
security, guardrails, and responsible-AI controls in the platform, including
PII/PHI handling, prompt-injection defenses, identity-on-behalf-of,
least-privilege tool access, and policy enforcement.
·Establish
platform engineering practices using Kubernetes, infrastructure as code, CI/CD,
secure software development, capacity management, and reliability engineering.
Define SLOs, participate in on-call, and lead incident response.
·Write
and review production code, conduct architecture reviews, set engineering
standards, and make pragmatic build-versus-buy and vendor recommendations with
budget input.
·Mentor,
coach, and develop a platform engineering team of approximately 3–8 engineers;
allocate work, set goals, and manage career development while remaining
technically hands-on.
·Partner
with the Product Manager, AI Platform to sequence the platform roadmap,
communicate tradeoffs, and measure adoption, reliability, time-to-onboard, and
consumer-team outcomes.
Essential
Skills
·10–15+
years of software engineering, platform engineering, distributed systems, or
infrastructure experience, including significant technical leadership.
·Hands-on
experience designing and operating enterprise AI/GenAI platforms or comparable
developer, data, or ML platforms in production.
·Strong
software engineering ability in Python and at least one of TypeScript, Go, or
JavaScript, with experience in APIs, distributed systems, testing, code review,
and secure SDLC.
·Deep
technical understanding of model gateways, GenAI runtimes, RAG, agent
registries, evaluation, observability, traceability, guardrails, identity, and
platform governance.
·Experience
with containers and orchestration (e.g., Kubernetes), infrastructure as code,
CI/CD, cloud services, secrets management, and production SLOs and on-call
practices.
·Bachelor's
degree in a related field or equivalent professional experience.
·Demonstrated
ability to lead technical decisions, influence across teams, communicate
clearly with senior stakeholders, and manage a growing engineering team.
Additional
Skills and Qualifications
·Experience
building enterprise GenAI or agent platforms using capabilities such as
multi-model routing, agent registries, prompt management, evaluation harnesses,
and GenAI tracing.
·Experience
in a highly regulated environment such as health tech, med-tech, or life
sciences, with GxP, HIPAA, validation, auditability, and change-control
constraints.
·Experience
implementing security, responsible-AI, privacy, policy, and cost or FinOps
controls for shared AI infrastructure.
·Experience
with open standards and tooling such as MCP, OpenTelemetry, Kubernetes, and
cloud-native platform engineering practices.
Thanks,
Information
Locations Position Open to Only localsIndustry Information TechnologyStatus OpenJob Age 3 Day'sCreated Date 11/04/2026No.of Positions 2Duration 12+ monthsZip Code
