AI Automation Engineer Tech Lead

Who You AreYou are a hands-on technologist who loves turning real-world business problems into clean, scalable AI and automation solutions. You are as comfortable meeting with department heads and frontline managers to understand their pain points as you are designing LLM-based agents, building workflows, and wiring APIs together behind the scenes. You communicate clearly with both technical and non-technical stakeholders, ask thoughtful questions, and translate vague ideas into concrete requirements, prototypes, and production-ready solutions. You enjoy collaborating in a team environment where the CIO sets the strategy, a project manager manages intake and prioritization, and you own the technical delivery that brings AI and automation to life across the business.About The RoleAs the AI & Automation Technical Lead at Myriad360, you will be the primary technical owner and builder of AI- and automation-powered solutions across the company, reporting directly to the CIO of a mid-sized IT value-added reseller. You will partner closely with leaders and department heads to identify high-impact opportunities, define requirements, and deliver solutions that reduce friction, improve quality, and accelerate operations across functions.You will work within our Microsoft 365–centric environment and leverage our existing platforms, including Microsoft Power Platform, ChatGPT Enterprise (supported by a Zero Data Retention API agreement with OpenAI), and tools such as Stack AI and Zapier. You will design and implement AI-powered workflows, agentic workflows, AI agents, and retrieval-augmented generation (RAG) pipelines, integrate them with our core systems, and coordinate with trusted third-party partners to execute against a shared backlog of AI and automation requests.Must be based in the United States. Travel up to 10% may be required. Other responsibilities include:Partner with business leaders and department heads to map current processes, elicit requirements, and identify high-value AI and automation opportunities across sales, operations, finance, services, and ITDesign, prototype, and implement AI-powered workflows and agentic solutions, including task- and process-specific agents, copilots, and multi-step orchestrationsBuild and optimize retrieval-augmented generation (RAG) pipelines that securely leverage internal data, including data preparation, vectorization, retrieval design, and relevance tuningDevelop and maintain integrations across systems using APIs (for example Microsoft Graph API, OpenAI API, and other SaaS APIs) and automation platforms (such as Power Automate, Zapier, n8n, and Make)Implement observability, monitoring, evaluation, and guardrails for AI agents and workflows, including logging, metrics, and feedback loops that support continuous improvementCollaborate with third-party delivery partners and vendors to divide and conquer the AI/automation backlog, provide technical direction, and review solution designs for quality, security, and maintainabilityLead and support user acceptance testing (UAT), gather feedback, refine solutions, and support rollout and adoption through documentation and light trainingWork closely with the CIO and project manager to provide technical input into sizing, sequencing, and prioritization of automation and AI workComplete ongoing security awareness training and comply with company policies to the requirements sectionIdentify and escalate security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts Other duties as assignedDesired skills and experience:5+ years of hands-on experience in roles such as solutions engineer, automation engineer, AI engineer, or similar, ideally within a B2B, IT services, VAR, or MSP environmentProven experience designing, building, and deploying AI-powered solutions using modern LLMs (such as ChatGPT, Claude, Gemini or similar), including prompt design, tool or agent definition, and evaluationExperience with enterprise AI and agent platforms or frameworks such as Stack AI, Azure AI Foundry, Crew AI, OpenAI AgentKit, Dify, Dust, Langflow, LlamaIndex, Fetch AI or comparable toolsStrong experience working with APIs and integrations, including Microsoft Graph API, OpenAI API, RESTful APIs, webhooks, authentication/authorization (for example OAuth and API keys), and JSON-based data transformationsHands-on experience with automation and orchestration tools such as Power Automate, Zapier, n8n, or Make to build end-to-end workflowsFamiliarity with vector databases and retrieval frameworks (e.g., Weaviate, Pinecone, Qdrant, or Chroma) and how they support scalable, performant RAG solutionsExperience designing for observability, safety, and governance of AI systems, including logging, monitoring, evaluation, and guardrails for enterprise useExcellent communication and interpersonal skills, with a demonstrated ability to facilitate working sessions, elicit requirements, translate business needs