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Director - AI Practice & Solutions

OTEEMO DIGITAL SOLUTIONS PRIVATE LIMITED
12 - 20 Years
Hyderabad

Posted on: 17/04/2026

Job Description

Description :

Role & responsibilities :

1. Technical Leadership & Solutioning :

- Act as a Strong Technical Capability Lead for AI/ML and related technologies

- Drive end-to-end solution architecture for AI-led engagements

- Provide hands-on technical guidance to teams on design, development, and deployment

- Review and ensure high-quality, scalable, and production-ready solutions

- Stay current with evolving AI trends (GenAI, LLMs, MLOps, etc.) and apply them in delivery

2. Practice Building (AI) :

- Build and scale the AI Practice in India aligned with Oteemos global vision

- Define capabilities, offerings, accelerators, and reusable assets

- Develop AI service lines (e.g., GenAI, AI/ML, Data Science, MLOps)

- Mentor and grow a high-performing AI engineering team

- Drive hiring strategy, capability development, and certifications

3. Delivery Oversight (Hands-on) :

- Work closely with teams on technical problem-solving and execution

- Ensure best practices in AI engineering, DevOps, and cloud are followed

- Step in as a technical anchor in critical engagements

- Balance architecture, coding guidance, and delivery excellence

4. Account Management & Customer Engagement :

- Build strong relationships with key customer stakeholders

- Act as a trusted technical advisor to clients

- Participate in account planning, solution discussions, and technical workshops

- Support pre-sales, proposals, and client presentations

5. Business Growth & Market Presence :

- Contribute to revenue growth through AI-led opportunities

- Identify and drive upsell and cross-sell opportunities

- Collaborate with leadership on go-to-market strategies

- Represent Oteemo at industry events, conferences, and client forums

- Build strategic partnerships and ecosystem relationships

6. Cross-Practice Collaboration :

- Work across Oteemo service offerings such as :

1. Cloud & DevOps

2. Platform Engineering

3. SRE / Infrastructure

- Bring AI-led enhancements into existing offerings

- Leverage experience/exposure to multi-domain capabilities

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