AI Platform Tech Lead ID84742

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise.

WHAT YOU WILL DO

- Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations.

- Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks.

- Translate business needs into technical designs, prototypes, and production-ready AI capabilities.

- Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems.

- Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions.

- Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements.

- Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding.

- Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management.

- Troubleshoot complex AI platform, integration, connector, and data-retrieval issues.

- Establish standards for AI agents, integrations, configurations, testing, deployment, and security.

- Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point.

- Evaluate emerging AI capabilities and provide technical recommendations to platform leadership.

MUST HAVES

- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;

- 6+ years of experience in development roles, with hands-on experience as a Tech Lead.

- Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.

- Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls.

- Proven ability to move solutions from proof of concept to stable, supportable production services.

- Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.

- Working knowledge of enterprise security, privacy, compliance, and data-governance principles.

- Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.

- Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products.

- Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.

- Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.

- Ability to lead technically through expertise and influence without direct people-management authority.

- Upper-intermediate English level.

NICE TO HAVES

- Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers.

- Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.

- Software development experience with Python, TypeScript, JavaScript, or similar languages.

- Experience creating MCP servers or integrating MCP-compatible clients and tools.

- Experience operating an enterprise AI platform or supporting an internal AI enablement program.

- Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.

PERKS AND BENEFITS

- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget

- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews

- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm

- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands

- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized

- Well-being & support: access local well-being programs and people-focused support tailored to your location

Requirements
+6 years of experience in development roles, with hands-on experience as a Tech Lead. Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. Proven ability to move solutions from proof of concept to stable, supportable production services. Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. Working knowledge of enterprise security, privacy, compliance, and data-governance principles. Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. Practical experience with seSlack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. Ability to lead technically through expertise and influence without direct people-management authority.