Engineering Manager​/Senior Manager

Position: Knowledge Engineering Manager / Senior Manager
About Accenture Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world.

We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes ough our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology.

We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at  Are:
Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.

The Digital Core Reinvention practice builds industry super-ontologies: industry- and ecosystem-specific agentic AI and data engines that encode how a vertical actually operates — its entities, its regulations, its rhythms — so AI systems can reason inside the industry rather than about it.

You Are:

A knowledge engineer with an industry lean — you want your ontologies to encode how a real vertical works, and you're happiest when the graph disagrees with the org chart and turns out to be right.

You belong here even if you haven't spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent — strong credentials in the neighboring discipline plus a year or two of serious hands-on work with LLM-based systems is exactly the profile we grow.

The Work:

At the Manager grade you lead industry digital-brain delivery on a client engagement: discovery and baseline of industry-specific patterns, ontology design and build (Knowledge Graph and Data Taxonomy, in skill terms), and the lifecycle management that keeps an industry engine current.

At the Senior Manager grade you hold authority across engagements in the vertical. We assess that fit at interview, not s is a joint posting covering Manager (CL7) and Senior Manager (CL6) grades, with Accenture's one-level lift at the firm's discretion.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need Minimum of 5 years in knowledge engineering, data modeling, or industry data work, with at least 1–2 years specifically on AI/LLM-based work.

Minimum of 2 years of domain experience in insurance, communications & media, or retail — at an operator, an analyst firm, or a consulting practice serving the industry.

Working fluency with knowledge-graph technologies and retrieval-augmented generation.

Minimum of 2 years leading a team or workstream within a larger program.

Minimum of 4 years of experience working in agile engineering or consulting teams.

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).Professional

Skills:

AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1–2 years of hands-on LLM work is exactly the profile we grow.

Bonus Points If You…