Senior AI Delivery Engineer

🕒 Yesterday

🇺🇸 United States – Remote

💵 $175k - $195k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 21%

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Myriad360

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Myriad360 is a worldwide technology leader specializing in data center modernization, cloud services, cybersecurity solutions, and artificial intelligence. The company offers tailored end-to-end IT infrastructure solutions, delivering powerful cybersecurity solutions, cutting-edge cloud services, and advanced AI technologies. Myriad360 enhances business efficiency and connectivity with modern infrastructure and networking solutions and provides agile, scalable IT solutions-as-a-service. With expertise across various industries including healthcare, finance, manufacturing, retail, legal, and media, Myriad360 helps businesses optimize their IT potential with a range of advisory, implementation, and lifecycle services.

📋 Description

• Lead the technical delivery of AI enablement, agent creation, automation, and applied generative AI engagements from alignment through production adoption • Support pre-sales solutioning when advanced AI expertise is required • Lead AI delivery with client teams across alignment, design, implementation, adoption, and close • Facilitate 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 connected to business processes, enterprise data, identities, permissions, APIs, and systems • Translate client priorities and user needs into AI use cases, solution designs, implementation plans, and measurable deliverables • Build proofs of concept and working prototypes to validate integrations, model choices, evaluation methods, guardrails, human oversight, and user experience • Develop reusable AI assets, including reference architectures, agent patterns, prompt and flow libraries, evaluation approaches, labs, guides, playbooks, and governance templates • Partner with sales, solution architects, and practice leaders on discovery, whiteboarding, technical validation, estimates, proposals, and Statements of Work • Guide multidisciplinary teams, establish AI engineering and quality standards, mentor colleagues, review solutions and prompts, resolve technical blockers, and provide recommendations • Contribute to Cloud and AI practice development, service offerings, enablement, governance, responsible AI practices, and engagement quality • Complete ongoing security awareness training and comply with company policies • Identify and escalate security risks and contribute to remediation efforts • Perform other duties as assigned

🎯 Requirements

• Must be based in the United States • 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, with the 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 and maintain delivery quality in dynamic client environments • Travel up to 25% may be required • Cloud engineering experience is a plus, not a requirement

🏖️ Benefits

• Unlimited Paid Time Off (PTO) • Incentive compensation plans for all employees • Company-funded 401k contributions • Zero-cost employer-covered health insurance • Annual BYOD (Bring Your Own Device) reimbursement up to $500 • Paid Parental Leave • Transparent, candid culture with 1:1 coaching, performance reviews, and a consistent feedback loop • Quirky, diverse, respectful, high-performing coworkers

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