ManagerTeam Lead AI Solutions

This is a remote position.

Manager Team Lead — AI Solutions

Employment type: FullTime (Permanent) or Contract (40 hrsweek)

Location: U.S. Remote

Why AITP Why this role

At AI Technology Partners (AITP), we empower enterprises to scale revenue & profit —with secure, compliant generative AI solutions.

This role leads a small, highimpact engineering squad to design, build, and operate production AI solutions. You’ll be handson in code, contribute to setting technical direction, coach engineers, and engage directly with customers—from discovery to delivery.

What you’ll do

Lead & Deliver

· Own outcomes for a small, crossfunctional squad (4–8 AI and DevOps engineers)—plan, staff, and deliver projects with clear scope, milestones, and quality gates.

· Act as a playercoach: write code, review designPRs, unblock execution, and raise the bar on engineering excellence.

· Drive iterative delivery (thin slices, fast feedback) and manage risk, dependencies, and tradeoffs with clear communication.

Architecture & Engineering (AI Solutions)

· Architect endtoend AI apps (APIs, orchestration, RAG, agents) with secure data access, structured outputs, and deterministic fallbacks.

· Help select and integrate frameworks (e.g., LangGraphLangChain, LlamaIndex, Semantic Kernel, Haystack), vector stores (Azure AI Search, pgvector, Pinecone, Weaviate), and model providers (Azure OpenAI and others).

· Collaboratively set coding standards, testing strategies, and design patterns that keep solutions maintainable and portable.

DevOps, Reliability & Security

· Embed IaC (TerraformBicep), CICD (GitHub ActionsAzure DevOps), containerization (DockerKubernetesACS), and observability (OpenTelemetry, Azure Monitor, Log Analytics).

· Champion security by design: leastprivilege IAM (Entra ID), Key Vault, secrets and certificate rotation, SBOMs, imagedependency scanning (SnykTrivy), and policyascode.

· Define SLIsSLOs, incident response practices, and postincident learning to drive reliability.

Client Leadership & Stakeholder Management

· Participate in technical discovery, solution shaping, and executivelevel communication with enterprise clients.

· Build trust through calm, confident, and respectful collaboration—navigate strong viewpoints, align stakeholders, and maintain momentum without ego.

· Support presales: estimates, architectures, demos, and SOW inputs.

Talent, Culture & Team Dynamics

· Recruit, hire, and onboard top talent; create growth plans and run effective 1:1s with clear expectations and constructive feedback.

· Foster a lowego, highownership culture with psychological safety and high standards.

· Promote knowledge sharing (design reviews, brown bags, playbooks) and internal reuse.

Open Source & Community

· Advocate an opensourcefirst approach where appropriate; evaluate licensing and compliance, contribute upstream, and cultivate internal OSS practices (templates, libs, examples, community engagement).

Requirements

Musthave

· 7+ years in softwareplatform engineering with both Dev and DevOps responsibilities; 2+ years leading small squads or “2pizza” teams.

· Proven delivery of production LLM applications (RAG andor agentic workflows), including security, observability, and costperformance tuning.

· Strong with PythonTypeScript, APIs (FastAPIExpress), containers, TerraformBicep, GitHub ActionsAzure DevOps, and KubernetesAKS.

· Solid grounding in Azure (Entra ID, Key Vault, Private Link, Storage, FunctionsContainer AppsAKS, Azure AI ServicesAzure OpenAI).

· Demonstrated people leadership: hiring, coaching, performance management, and setting team rhythms.

· Excellent clientfacing communication—direct, thoughtful, and solutionsoriented.

Nice to have

· Crosscloud experience (AWSGCP), enterprise connectors (SharePointOneDrive, ServiceNow, Salesforce), and private connectivity (ExpressRoute).

· Experience with evaltrace stacks (Langfuse, promptfoo, DeepEval), and analytics for task success, grounding, and cost.

· Background in regulated environments (ISO 27001, SOC 2, NIST, HIPAA, GDPR) and audit evidence automation.

Benefits

How we work

· Ownership & autonomy: You’ll make architectural calls and own delivery.

· Bias to action: Ship in small increments; measure and improve.

· Security by default: Controls and guardrails are builtin.

· AI as leverage: Use LLMs to accelerate engineering, documentation, and ops—not as theater.

Compensation

· Competitive salary or hourly rate, commensurate with experience and engagement model. (We’ll discuss ranges early in the process.)

What we offer

· Challenging work building real, production AI systems for enterprise clients.

· Learning & sharing culture with deep dives, mentorship, and support for certificationscontributions.

· Inclusive, flexible workplace—bring your whole self; work where you do your best thinking.

Apply

Send your resume and a short note (or links) highlighting a team you led, what you shipped, and how you made the team better—technically and culturally.

AI Technology Partners is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.