Director, Applied AI Engineering at Deloitte
Hermitage, TN
$151,400–$311,000from the description
Aug 12, 2026
Hermitage, TN
Sep 24, 2026
What this job asks for AI summary
A Director-level engineering leadership role at Deloitte's internal product engineering organization, responsible for setting and executing the Applied AI engineering strategy across a service line — including GenAI and agentic product development, enterprise integration architecture, and technology roadmaps. The role is a hybrid of hands-on technical leadership (architecture, code, standards) and people/organizational leadership (mentoring engineers, aligning executives, managing delivery KPIs). Suited to a seasoned engineering leader with deep full-stack, cloud-native, and AI/ML credentials who can operate credibly from code review to C-suite conversation.
Principal level · 12+ years · Unspecified (multiple locations) · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'Director' and carries org-wide engineering strategy ownership across a service line, direct mentorship of large engineering teams, and executive stakeholder accountability — this maps to Principal seniority rather than Senior, as the scope genuinely exceeds a single-team or single-product remit.
11-3021 (Computer and Information Systems Managers) is the primary classification given the explicit people leadership, budget/KPI ownership, and org-wide strategy mandate. However, the posting strongly emphasizes remaining hands-on with architecture and code, making 15-1252 (Software Developers) a meaningful runner-up.
The 12+ years full-stack requirement lists many technologies together as a group ('most of the following'), meaning no single one is individually gated — however, the block as a whole is required. Skills within it are marked required per section placement, with alternatives noted where the posting uses 'or' phrasing.
The 8+ years cloud-native block names Azure, AWS, and GCP as alternatives ('any of'), and Azure OpenAI, AWS Bedrock, and Vertex AI as alternatives; each set is captured as a single skill with alternatives.
The degree requirement states 'bachelor's degree… Experience is the most relevant factor' — this reads as a stated minimum degree without an explicit equivalent-experience escape clause, so Bachelors is set as the minimum.
Compensation range ($151,400–$311,000/year) is explicitly noted as not adjusted for geographic differential and is subject to individual circumstances.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI agent orchestration.
Read the full posting
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