AI Architect
- Level
- Lead
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
Accellor is looking for an AI Architect to build and strengthen its AI, Data and Engineering solutions in the organization.
This is a strategic leadership role responsible for building a high-performing AI & Data Center of Excellence, driving AI-led innovation, strengthening enterprise delivery capabilities, developing strategic client relationships, and building a world-class technology organization.
The ideal candidate will be a proven AI/Technology lead, AI Practice lead, Engineering lead or Data & AI Leader — with strong experience in Generative AI, Agentic AI, Data and enterprise technology, combined with exceptional people, client and business leadership skills.
Key Responsibilities:
- AI & Technology Leadership: Work with leadership to drive execution of the AI & Data strategy aligned with Accellor's global AI vision and roadmap.
- Practice Building: Build and scale a high-performing AI, Data and Engineering organization.
- Generative & Agentic AI: Lead adoption and delivery of GenAI, LLM, RAG, AI Agents, Machine Learning and intelligent automation solutions.
- Product & Innovation: Drive development of AI products, platforms, accelerators, reusable frameworks and intellectual property.
- Client Leadership: Engage with CXOs and enterprise clients to identify AI opportunities, shape technology strategies and drive business outcomes.
- Delivery Excellence: Ensure strategic AI programs are delivered with high quality, speed, scalability and measurable ROI.
- Business Growth: Partner with Sales and Business Development on AI-led opportunities, pre-sales, solutioning, proposals and account expansion.
- People Leadership: Attract, develop and retain top AI/ML, Data Engineering, Software Engineering and Architecture talent.
- Thought Leadership: Represent Accellor externally through AI/technology forums, industry events, partnerships and thought leadership initiatives.
Requirements
- 15–18 years of experience in Technology, AI, Data, Product Engineering or Consulting, including 8+ years leading an AI team in a senior leadership capacity.
- Proven experience as an AI Architect, Technology Lead, Engineering Lead, Data & AI Leader or equivalent in Consulting and Service Industry.
- Strong expertise in Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Data Engineering and Cloud platforms.
- Proven track record of taking AI initiatives from PoC → Production → Scale.
- Experience building and leading large, high-performing technology organizations.
- Strong enterprise client-facing and C-suite stakeholder management experience.
- Demonstrated understanding of business growth, revenue, margins, delivery and commercial outcomes.
- Exceptional communication, strategic thinking and executive leadership capabilities.
- Engineering/technology degree from a well-recognized institution; an advanced degree (M.Tech/MS/MBA) from a premier institute is a plus.
Preferred Background:
- Experience in SaaS, IT Services, Enterprise Technology, E-commerce, Martech, Digital Products or AI-first organizations is preferred.
- Prior experience in building or scaling a technology/AI Center of Excellence will be an advantage.
What Success Looks Like:
- Co-lead the organization as a strategic AI & Data Center of Excellence.
- Build and scale a strong AI/Data/Engineering team in the organization.
- Drive significant AI-led enterprise client opportunities.
- Launch multiple AI products, accelerators or client solutions into production.
- Strengthen talent acquisition, retention and AI capability development.
Benefits
Accellor's standard text
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: -
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
What this role asks for
95% of this description is written for the role. The rest is Accellor's standard text, folded away below.
Read against Accellor's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 21 open in Engineering. 7 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Azure (10 of 21), JavaScript (10 of 21), AWS (9 of 21), CI/CD (9 of 21), GCP (8 of 21), Generative AI (8 of 21), Java (8 of 21)
OTHER ROLES ON THIS TEAM
- Gen AI Engineers posted Oct 14
- Solution Architect (Veeva Vault CRM to Salesforce Migration) posted Oct 13
- Senior Salesforce Developer posted Oct 8
- Senior Guidewire ClaimCenter Engineer posted Oct 6
- Lead Full Stack Engineer (Multi Agent Systems) posted Sep 28
- Senior Salesforce QA Engineer posted Sep 28
- Senior AI Product Manager posted Sep 25
- Lead DevOps Engineer posted Sep 9
- AI Application Architect posted Sep 3
- Senior Business Analyst posted Aug 31
- AI Practice Lead & Principal FDE posted Aug 14
- Senior Java Developer - Java J2EE, Cursor AI posted Aug 14
- Microsoft Copilot Studio-Senior Developer posted Jul 13
- Senior Full Stack Software Developer (React, Python) posted Jul 3
- Senior Mainframe Engineer posted Jul 1
- Senior QA Engineer - Playwright & AI Testing posted Jun 17
- Full Stack Developer (React and Ruby on Rails) posted Apr 23
- Senior QA Automation Engineer - Playwright posted Apr 13
- AI Developer posted Mar 13
- Senior AI Developer posted Dec 29
From the team and dates on Accellor's own job board.
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