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Tata 1mg - Assistant Manager - Artificial Intelligence Solutions

Posted on: 13/10/2025

Job Description

Brief about the Role :


We are seeking an experienced professional to lead and deliver cutting-edge Generative AI initiatives at Tata 1mg.

This role involves managing both in-house AI solution development as well as vendor-driven AI implementations, while ensuring scalability, compliance, and measurable business impact.

The role will also involve mentoring and guiding team members, fostering a culture of innovation, and driving collaboration across stakeholders.

What will you do :



In-House Gen AI Development :


- Lead projects where problems are identified internally and solved using Gen AI models (e.g., OpenAI, Gemini, Claude).


- Define solution architecture, logic, and implementation strategy.



- Ensure scalability, accuracy, and performance of in-house Gen AI solutions.

Vendor-Driven Solutions :


- Manage the full lifecycle of projects executed by vendors or subscription solutions.


- Draft clear project briefs (problem statement, success metrics, one-pagers).


- Review and challenge vendor solution architectures for alignment with Tata 1mgs standards.


- Track progress, validate accuracy, and establish governance frameworks.


- Ensure vendors deliver with efficiency, accountability, and transparency.

Team Leadership (10%) :


- Support team acquisition, engagement, and retention.


- Mentor and guide team members on Gen AI initiatives.


- Foster a collaborative, innovative, and outcome-driven culture.

Cross-Functional Collaboration :


- Partner with business stakeholders to identify high-impact problems solvable through Gen AI.


- Translate business needs into scalable AI-driven solutions.


- Drive adoption of AI solutions across functions to ensure tangible value creation.

What we are looking for :


Technical Expertise :



- Strong understanding of Generative AI models, APIs, and solution architectures.


- Hands-on experience with model integration, prompt engineering, and scaling AI solutions.


- Ability to critically evaluate vendor solution architectures.

Program & Vendor Management :


- Proven experience leading technology/vendor-driven projects.


- Skilled at defining success metrics, tracking execution, and ensuring vendor accountability.


- Strong governance and compliance orientation.


- Excellent communication skills to align with leadership and business stakeholders.


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