Senior AI Delivery Engineer (Remote)

Myriad360

2d • $175,000 - $195,000 • Remote

About The Position

Myriad360 is seeking a Senior AI Delivery practitioner to lead the technical delivery of enterprise AI enablement, agent creation, automation, and applied generative AI engagements from alignment through production adoption. The role also supports pre-sales solutioning when advanced AI expertise is needed. AI is the central focus: the successful candidate turns business priorities into working, governed, measurable solutions using platforms such as Microsoft Copilot, Copilot Studio, Power Platform, Microsoft Foundry, Google Gemini Enterprise and Gemini Enterprise Agent Platform, Anthropic Claude, and ChatGPT. Cloud engineering knowledge is valuable but is not required.

This is a hands-on builder and client-consultant role. The Senior AI Delivery Engineer designs AI experiences, connects them to enterprise data and systems, explains technical tradeoffs, guides adoption, and develops repeatable services and reusable assets. The role leads client technical workstreams in partnership with Adoption and Change Management teammates across alignment, design, implementation, adoption, and close. It includes facilitating discovery and working sessions, prioritizing use cases, prototyping, reviewing builds, testing, and presenting executive readouts.

The position also involves technical leadership of multidisciplinary teams, mentoring colleagues, setting AI engineering and quality standards, reviewing solutions and prompts, resolving blockers, and advising client and company leaders. The engineer contributes to service-offer development, sales and delivery enablement, responsible AI practices, governance, and the growth of Myriad360’s Cloud and AI practice. The role must be based in the United States, and travel up to 25% may be required.

Requirements

• Hands-on experience designing and delivering production AI solutions, agents, copilots, automations, or generative AI applications for enterprise customers.
• Deep expertise in at least one enterprise AI platform, such as Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Google Gemini Enterprise Agent Platform, Gemini Enterprise, Anthropic Claude, ChatGPT, or a comparable platform, and ability to become productive quickly on a second.
• Experience integrating AI solutions with enterprise identities, permissions, APIs, business applications, documents, knowledge bases, and data sources.
• Strong understanding of retrieval-augmented generation, grounding, embeddings, vector or hybrid search, prompt and flow engineering, model selection, evaluation, guardrails, observability, and human oversight.
• Demonstrated experience delivering directly to enterprise customers through discovery sessions, use-case workshops, technical design discussions, prototypes, build reviews, user testing, and knowledge transfer.
• Ability to translate business processes and user needs into practical AI experiences, technical designs, implementation plans, and measurable outcomes.
• Strong written communication and experience producing solution designs, prompt and flow documentation, implementation guides, test plans, governance materials, and executive recommendations.
• Working knowledge of APIs, authentication, data integration, scripting, low-code or pro-code automation, source control, and testing practices.
• Ability to manage multiple technical workstreams, make sound decisions with incomplete information, and maintain delivery quality in dynamic client environments.
• Ability to work credibly in executive workshops, customer discovery sessions, AI prototypes, and technical design reviews.
• Experience moving AI solutions beyond demonstrations into real user workflows while considering enterprise data, security, governance, measurement, and adoption.
• Ability to explain complex AI choices clearly without minimizing risks, limitations, or tradeoffs.
• Experience creating repeatable AI delivery methods, service offers, agent patterns, prompt libraries, reference solutions, or enablement content adopted by other teams.
• Client-first mindset, strong ethics, curiosity, accountability, and a bias toward measurable outcomes.
• Must be based in the United States.

Nice To Haves

• Cloud engineering experience.

Responsibilities

• Lead the technical AI workstream with client teams across alignment, design, implementation, adoption, and close, in partnership with Adoption and Change Management teammates.
• Facilitate client working sessions, use-case prioritization, prompt and flow design, build reviews, testing, and executive readouts.
• Build enterprise agents, copilots, automations, knowledge experiences, and generative AI workflows grounded in business processes, enterprise data, identity, permissions, APIs, and systems.
• Translate client priorities, user needs, operating constraints, and risk considerations into practical AI use cases, solution designs, implementation plans, and measurable deliverables.
• Build proofs of concept and working prototypes to validate edge cases, grounding, integrations, model choices, evaluation methods, guardrails, human oversight, and user experience.
• Create reusable AI assets, including reference architectures, agent patterns, prompt and flow libraries, evaluation approaches, labs, participant guides, assessment tools, implementation playbooks, and governance templates.
• Support strategic pre-sales by partnering with sales, solution architects, and practice leaders on discovery, whiteboarding, technical validation, estimates, proposals, and Statements of Work.
• Use delivery lessons to improve future scoping.
• Guide multidisciplinary teams, establish AI engineering and quality standards, mentor colleagues, review solutions and prompts, resolve technical blockers, and provide recommendations to client and company leaders.
• Contribute to Cloud and AI service-offer development, enable sellers and delivery teams, share field feedback, and strengthen delivery methods, governance, responsible AI practices, and quality.
• Complete ongoing security awareness training and comply with company policies.
• Identify and escalate security risks to the appropriate Executive Leadership Team member and contribute to remediation efforts.
• Perform other duties as assigned.

Benefits

• Unlimited paid time off (PTO).
• Incentive compensation plans for all employees.
• Company-funded 401(k) contributions.
• Zero-cost employer-covered health insurance.
• Annual bring-your-own-device reimbursement up to $500.
• Paid parental leave.
• Transparent, candid culture with one-to-one coaching, performance reviews, and a consistent feedback loop.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed