Manager/Team Lead AI Solutions
Manager/Team Lead AI Solutions
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
This is a remote position.
Manager / Team Lead AI Solutions
Employment type: Full-Time (Permanent) or Contract (40 hrs/week)
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 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).
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.
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 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.
Key Responsibilities: Project Delivery: Oversee the delivery of generative AI solutions from initiation through to completion. Ensure projects are delivered on time, within scope, and budget. Manage risks, milestones, and overall project timeline. Client Liaison: Serve as the primary point of contact for clients during the project lifecycle. Communicate project progress, address concerns, and adapt project plans based on client feedback. Team Leadership: Lead and coordinate cross-functional teams comprising AI developers, data scientists, analysts, and other relevant stakeholders. Foster a collaborative team environment and ensure resources are effectively allocated. Quality Assurance: Ensure the delivered solutions meet the quality standards and requirements of mid-enterprise clients. Implement quality control processes and continuous improvement methodologies. Stakeholder Management: Engage with stakeholders at all levels, including senior management, to ensure alignment and support for project objectives. Functional Oversight: Provide technical oversight and guidance to project teams. Stay abreast of the latest generative AI technologies and methodologies to drive innovation within the company. Problem-Solving: Address and resolve project challenges creatively and effectively. Facilitate decision-making processes to ensure project continuity. Qualifications: Proven experience in project management within the IT services sector (ideally in cloud computing, data, AI or similar areas). At least 5 years of experience in this role is required, preferably working with enterprise clients. Strong understanding of AI technologies and their application in solving business problems. Excellent client-facing and internal communication skills. Strong analytical and problem-solving abilities. Experience leading cross-functional teams. Agile/scrum project delivery experience is required (Agile certification is a plus).
Employment Type
Full Time
