# Tharp Consulting — AI Engineer - Director

- Generated: 2026-09-19 09:27:30 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4468053522/
- Provider: LinkedIn
- Posted: approximately 2026-09-18 10:27 PM EDT (from '11 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Boston, Massachusetts listing
- Compensation: Not disclosed; Director title qualifies for missing-compensation review
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 69%

## Direct-match strengths

AI/ML leadership, cloud technologies, conversational AI, automation, ethical AI, MLOps, client advisory, team mentoring, and Boston eligibility.

## Hard or material gaps

The role is explicitly consulting/GTM-centered: identifying market opportunities, developing proposals, securing client engagements, positioning KPMG AI solutions, and fostering strategic partnerships. It also requires essential depth across Microsoft, AWS, and Google AI ecosystems for conversational AI; Keith's strongest cloud depth is AWS-led.

## Evidence map

1. AI/ML and cloud leadership (weight 3, evidence 3/3) — Direct AI, ML, data, cloud, and leadership evidence.
2. Conversational AI and automation (weight 3, evidence 2/3) — Agentic/workflow automation is direct; chatbot/virtual-assistant specialization is narrower.
3. Microsoft, AWS, and Google AI ecosystems (weight 3, evidence 1/3) — AWS is deep and GCP exists; Microsoft ecosystem depth is unsupported.
4. Client advisory (weight 2, evidence 3/3) — Direct executive advisory and consulting.
5. Proposal, market opportunity, and client acquisition (weight 3, evidence 0/3) — Central GTM responsibilities conflict with preferences.
6. Boston eligibility (weight 1, evidence 3/3) — Boston work location is within scope.

## Keyword diagnostic

AI strategy and conversational-automation overlap is outweighed by required GTM/proposal ownership and multi-cloud conversational-AI stack depth.

## Full normalized job description

Role Overview:
The position involves leading AI strategy and solution development, acting as a trusted advisor to senior clients, and overseeing the design and delivery of conversational AI and automation solutions. The role includes driving business growth by identifying market opportunities, developing proposals, and fostering strategic partnerships. Responsibilities also encompass managing and mentoring cross-functional teams, collaborating with platform teams across major cloud providers, and setting a strategic vision for AI offerings aligned with digital strategies. The candidate must uphold professional integrity and a respectful work environment.
Qualifications & Skills:
Requires at least eight years of experience in AI/ML, data analytics, and cloud technologies, with leadership experience in consulting or tech organizations. An advanced degree in computer science, data science, engineering, or related fields is preferred. Expertise in Microsoft's, AWS's, and Google's AI ecosystems, especially in designing multi-agent conversational AI, chatbots, and virtual assistants, is essential. Skills include architecting scalable AI solutions, integrating AI with enterprise systems, and practicing ethical AI and MLOps. Strong technical and business acumen, along with the ability to stay current on AI innovations, is vital.
Key Duties
Lead end-to-end AI solutions and transformation programs to improve customer experience and operational efficiency.
Advise clients on AI strategies, roadmaps, and positioning KPMG's AI solutions as strategic enablers.
Design, architect, and deliver multi-agent conversational AI systems integrated with enterprise workflows.
Identify market opportunities, develop proposals, and secure new client engagements.
Manage and mentor teams, fostering technical excellence and professional growth.
Collaborate with cloud platform teams to enhance AI capabilities within ecosystems.
Maintain knowledge of AI advancements, promote innovation, and ensure alignment with digital strategies.
Applicants must be authorized to work in the U.S. without sponsorship. KPMG provides competitive benefits and a commitment to diversity and inclusion. Candidates are encouraged to apply promptly as applications are reviewed on a rolling basis.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No