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, high-impact engineering squad to design, build, and operate production AI solutions. You’ll be hands-on 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, cross-functional squad (4–8 AI and DevOps engineers)—plan, staff, and deliver projects with clear scope, milestones, and quality gates.

·   Act as a player-coach: write code, review design/PRs, unblock execution, and raise the bar on engineering excellence.

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

Architecture & Engineering (AI Solutions)

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

·   Help select and integrate frameworks (e.g., LangGraph/LangChain, 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 (Terraform/Bicep), CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/Kubernetes/ACS), and observability (OpenTelemetry, Azure Monitor, Log Analytics).

·   Champion security by design: least-privilege IAM (Entra ID), Key Vault, secrets and certificate rotation, SBOMs, image/dependency scanning (Snyk/Trivy), and policy-as-code.

·   Define SLIs/SLOs, incident response practices, and post-incident learning to drive reliability.

Client Leadership & Stakeholder Management

·   Participate in technical discovery, solution shaping, and executive-level communication with enterprise clients.

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

·   Support pre-sales: 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 low-ego, high-ownership culture with psychological safety and high standards.

·   Promote knowledge sharing (design reviews, brown bags, playbooks) and internal re-use.

Open Source & Community

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

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Requirements

Must-have

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

·   Proven delivery of production LLM applications (RAG and/or agentic workflows), including security, observability, and cost/performance tuning.

·   Strong with Python/TypeScript, APIs (FastAPI/Express), containers, Terraform/Bicep, GitHub Actions/Azure DevOps, and Kubernetes/AKS.

·   Solid grounding in Azure (Entra ID, Key Vault, Private Link, Storage, Functions/Container Apps/AKS, Azure AI Services/Azure OpenAI).

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

·   Excellent client-facing communication—direct, thoughtful, and solutions-oriented.

Nice to have

·   Cross-cloud experience (AWS/GCP), enterprise connectors (SharePoint/OneDrive, ServiceNow, Salesforce), and private connectivity (ExpressRoute).

·   Experience with eval/trace 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.

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 built-in.

·   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 certifications/contributions.

·   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.

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