ai solutions manager

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 88742
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Bengaluru
</div></div></div></div><div><div><div><div>Designation: Manager
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><ul><li>Design, develop, and deploy AI solutions using Generative AI and Agentic AI frameworks.</li><li>
Implement and optimize Multi-Agent Retrieval-Augmented Generation (RAG) systems for enterprise use cases.</li><li>
Conduct research and stay up to date with the latest trends in machine learning and deep learning.</li><li>
Write clean, scalable, and efficient Python code for AI model development and deployment.</li></ul></div></div></div></div></div><p></p>

Manager | Machine Learning (ML) | Bengaluru | Artificial Intelligence & Data

Client of Tandem Search

<p> <strong>Job Title:</strong> Technical Manager   Data &amp; Artificial Intelligence (AI)<br>
<strong>Location:</strong> Dubai, UAE/Riyadh, KSA <br>
<strong>Firm:</strong> Big4 </p>
<p> <strong>Role Overview</strong> <br>
We are seeking a <strong>Data &amp; AI Technical Manager</strong> to play a key role in designing, implementing, and managing advanced data and AI solutions for our clients. This role combines deep technical expertise with strong consulting skills to deliver innovative, scalable, and business-driven outcomes. As a Technical Manager, you will work with cross-functional teams, manage solution delivery, and collaborate closely with senior stakeholders to ensure the successful execution of Data &amp; AI transformation programs.</p>
<p> <strong>Key Responsibilities</strong> </p>
<ul>
 <li>
 <p> <strong>Solution Design &amp; Delivery</strong> </p>
<ul>
 <li>
 <p>Lead the <strong>design, architecture, and implementation</strong> of data and AI platforms, pipelines, and solutions.</p>
 </li>
 <li>
 <p>Develop scalable models and systems in <strong>machine learning, AI, advanced analytics, and data engineering</strong>.</p>
 </li>
 <li>
 <p>Ensure solutions align with client objectives, compliance requirements, and industry best practices.</p>
 </li>
 <li>
 <p>Drive end-to-end project delivery, from requirements gathering to deployment and handover.</p>
 </li>
 </ul>
 </li>
 <li>
 <p> <strong>Technical Leadership</strong> </p>
<ul>
 <li>
 <p>Provide subject matter expertise in <strong>cloud ecosystems</strong> (Azure, AWS, GCP), <strong>data engineering frameworks</strong>, and <strong>AI/ML tools</strong>.</p>
 </li>
 <li>
 <p>Guide technical teams on model development, MLOps, data governance, and responsible AI practices.</p>
 </li>
 <li>
 <p>Stay current with emerging AI and data technologies to embed innovation in client solutions.</p>
 </li>
 </ul>
 </li>
 <li>
 <p> <strong>Client Engagement</strong> </p>
<ul>
 <li>
 <p>Translate business requirements into technical solutions, ensuring business value is realized.</p>
 </li>
 <li>
 <p>Work closely with <strong>senior stakeholders and C-level executives</strong> to explain complex technical concepts in simple, actionable terms.</p>
 </li>
 <li>
 <p>Support pre-sales and business development efforts by preparing proposals, demos, and solution presentations.</p>
 </li>
 </ul>
 </li>
 <li>
 <p> <strong>Team &amp; Practice Development</strong> </p>
<ul>
 <li>
 <p>Manage and mentor data scientists, engineers, and analysts in delivering high-quality client engagements.</p>
 </li>
 <li>
 <p>Contribute to capability building, internal knowledge sharing, and the growth of the Data &amp; AI practice.</p>
 </li>
 <li>
 <p>Collaborate with global technology partners (Microsoft, AWS, Google, OpenAI) to bring cutting-edge solutions to market.</p>
 </li>
 </ul>
 </li>
</ul>
<p> <strong>Qualifications &amp; Experience</strong> </p>
<ul>
 <li>
 <p> <strong>Education:</strong> Bachelor s degree in Computer Science, Engineering, Data Science, or related field; Master s preferred.</p>
 </li>
 <li>
 <p> <strong>Experience:</strong> 8 12 years in data engineering, advanced analytics, or AI/ML, with at least 3 5 years in a managerial/technical leadership role.</p>
 </li>
 <li>
 <p>Proven track record in <strong>delivering end-to-end data and AI projects</strong> within large organizations or consulting firms.</p>
 </li>
 <li>
 <p>Strong knowledge of <strong>data platforms (Azure Synapse, Snowflake, BigQuery, Databricks)</strong>, <strong>machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)</strong>, and <strong>data governance tools</strong>.</p>
 </li>
 <li>
 <p>Hands-on experience with <strong>ETL pipelines, APIs, MLOps, and cloud-native architectures</strong>.</p>
 </li>
 <li>
 <p>Excellent communication and stakeholder management skills, with experience presenting to senior executives.</p>
 </li>
</ul>
<p> <strong>Skills &amp; Competencies</strong> </p>
<ul>
 <li>
 <p>Strong technical expertise in <strong>data architecture, ML model development, and cloud-native solutions</strong>.</p>
 </li>
 <li>
 <p>Ability to manage <strong>complex, multi-disciplinary projects</strong> under tight timelines.</p>
 </li>
 <li>
 <p>Demonstrated leadership in <strong>team management and mentoring</strong>.</p>
 </li>
 <li>
 <p>Passion for <strong>innovation, problem-solving, and applying AI to real-world business challenges</strong>.</p>
 </li>
</ul>

Data & AI Technical Manager

Ooredoo Qatar

<div>
 <p>
  About the Role:
 </p>
 <p>
  The Manager &ndash; AI Solutions Onboarding is a customer-facing role responsible for implementing, configuring, and supporting the onboarding of enterprise and government clients onto Ooredoo&rsquo;s GPU-as-a-Service platform. The role ensures seamless activation of GPU environments by handling system configuration, integration with customer workloads, and providing post-onboarding technical assistance.
 </p>
 <p>
  This role requires hands-on experience with GPU infrastructure, container orchestration, cloud and hybrid deployment models, and customer training/support, working closely with solution architects, delivery teams, and account managers to ensure a smooth onboarding experience and early customer success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Functional Context:
 </p>
 <p>
  This role sits within the Professional services team and directly contributes to project acquisition and delivery. The Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Professional Services department is a key pillar in the newly created Business solution division focused on providing solutions to Customers across Networks, Security and Hybrid cloud including the AI Solutions and GPUs. The professional services team is the overall lead in acquisition and delivery of projects.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Key Responsibilities:
  </u>
 </p>
 <ul>
  <li>
   Act as the technical lead for onboarding new enterprise and government clients to the Ooredoo GPUaaS platform.
  </li>
  <li>
   Understand the customer requirements for proper onboarding of the AI Solution.
  </li>
  <li>
   Deploy, configure, and validate GPU workloads for customer environments (cloud, hybrid, or on-prem).
  </li>
  <li>
   Integrate customer AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) with Ooredoo GPU infrastructure.
  </li>
  <li>
   Set up and troubleshoot NVIDIA-powered environments (DGX, L40S, A100) and ensure optimal performance.
  </li>
  <li>
   Configure container environments (e.g., Docker, Kubernetes) for running AI/ML workloads on GPU nodes.
  </li>
  <li>
   Coordinate with storage and networking teams to Configure Storage and networking as per the requirements
  </li>
  <li>
   Validate System performance benchmarks during onboarding.
  </li>
  <li>
   Ensure proper integration with orchestration tools like Kubeflow, MLflow, or Slurm if used by the customer.
  </li>
  <li>
   Conduct validation testing, PoC trials, and GPU workload benchmarking to meet SLAs and customer expectations.
  </li>
  <li>
   Implement and verify security controls including user access, RBAC, data encryption, and network isolation.
  </li>
  <li>
   Provide technical training and documentation to customer teams on managing and optimizing their GPU environments.
  </li>
  <li>
   Capture and escalate technical issues to delivery and support teams as needed, ensuring resolution and transparency.
  </li>
  <li>
   Assist with system health checks, monitoring setup, and usage reporting during onboarding.
  </li>
  <li>
   Collaborate with architects and sales teams to ensure each onboarding is aligned with the designed solution.
  </li>
  <li>
   Maintain customer onboarding checklists, deployment documentation, and handover reports.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Minimum Entry Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s degree in Computer Science, IT Infrastructure, or related field
 </p>
 <p>
  <br/>
 </p>
 <p>
  Minimum Experience, Essential Knowledge &amp; Skills:
 </p>
 <ul>
  <li>
   Minimum 10 years&rsquo; work experience
  </li>
  <li>
   7+ years in infrastructure deployment, DevOps, or technical onboarding roles.
  </li>
  <li>
   Hands-on experience with GPU compute environments (NVIDIA DGX, cloud GPU VMs, etc.).
  </li>
  <li>
   Familiarity with containerization (Docker/Kubernetes) and AI/ML frameworks.
  </li>
  <li>
   Strong understanding of networking, storage, and cloud services as related to AI workloads.
  </li>
  <li>
   Customer support and troubleshooting experience in technical delivery settings.
  </li>
  <li>
   Ability to communicate technical concepts clearly to non-technical stakeholders.
   <u>
   </u>
  </li>
 </ul>
 <p>
  <u>
   Professional Experience:
  </u>
  .
 </p>
 <ul>
  <li>
   Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).
  </li>
 </ul>
 <p>
  <u>
   Excellent Analytical and Problem-Solving Skills:
  </u>
 </p>
 <p>
  Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution
 </p>
 <p>
  <u>
   Strong Communication and Interpersonal Skills
  </u>
 </p>
 <ul>
  <li>
   Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly
  </li>
 </ul>
</div>


Manager AI Solutions Onboarding

Microsoft

<div>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 The Business &amp; Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Copilot Studio, Power Apps, Power Automate, Dataverse and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 <br/>
 <br/>
 We are Customer Experiences Team within BIC accountable for end-to-end AI transformation of Microsoft Sales &amp; Customer Success experiences. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Sales &amp; Customer Success organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Copilot Studio, Azure &amp; Power Platforms, we ensure our solutions are robust and efficient. Our organization&rsquo;s implementation acts as reference architecture for large companies and helps drive product capabilities.
 <br/>
 <br/>
 As a
 <strong>
  Product Manager
 </strong>
 <strong>
  II
 </strong>
 on team, you will directly strategize, envision, and build the next wave of AI solutions. Your work will directly impact multi-billion dollar businesses&mdash;fuelling revenue growth, enhancing competitive advantage, and optimizing margins. You&rsquo;ll work across our engineering teams and partner closely with business leaders and with some of the most innovative companies in the world to deliver engaging and transformative AI solutions for use Microsoft Sales &amp; by millions of end-users while also driving our platform growth strategy. This role is an excellent opportunity for an AI-focused product manager with demonstrable experience in shipping AI first products &amp; services to the customer and partners.
 <br/>
 <br/>
 In this role, you will also have a direct role in pushing the latest AI frontiers, including autonomous agentic workflows, deep research and reasoning and multi-agent frameworks. And we maintain a focus on delivering high-quality user experiences, from conversational UX to emerging interaction models across the Microsoft and Copilot ecosystem.
 <br/>
 <br/>
 This position can be based at Hyderabad or Bangalore Microsoft India Development Center.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with product designers, architects, executives, and end-users from leading AI companies and solution providers.
  </li>
  <li>
   Pitch AI agents' potential to transform business processes in new industries and innovative problem spaces.
  </li>
  <li>
   Lead scenario envisioning and UX &amp; technical product design to build and ship Copilot platform solutions; advise on GTM/adoption and evolving product and portfolio strategy.
  </li>
  <li>
   Serve as a key product expert for Copilot platform capabilities; train, advise, and guide customers and partners on technical capabilities, solution design, and AI platform strategy.
  </li>
  <li>
   Develop and drive engagement programs to enable &ldquo;hockey stick&rdquo; ecosystem growth based on designed scenarios.
  </li>
  <li>
   Capture, frame, and drive key product insights and developer ecosystem signals from the market to shape the future of Microsoft AI platform, apps, and developer toolset.
  </li>
  <li>
   Research, contextualize, prototype, and evangelize frontier technology trends to drive long-term product shifts.
  </li>
  <li>
   Embody the Microsoft culture and values.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree and 3-5 years of experience in product/service/program management or software development OR equivalent experience.
  </li>
  <li>
   Demonstrable experience shipping AI applications and agents, such as conversational UX, agent frameworks, and/or GPT/Copilot solutions.
  </li>
  <li>
   Experience with generative AI, cloud services architecture, or other highly technical areas.
  </li>
  <li>
   Experience in business technology scenarios with commercial SaaS offerings or customer solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrable recent shipping experience driving generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape.
  </li>
  <li>
   Breakthrough Solution and Automation: Partner with engineering to develop scalable fundamentals tools and dashboards that provide visibility into AI model performance, accuracy, and system impact.
  </li>
  <li>
   Cross-Functional Leadership: Collaborate with engineering, business, and platform teams to define fundamentals requirements, prioritize scenarios, and drive execution.
  </li>
  <li>
   Data-Driven Insights: Leverage telemetry, performance profiling, and diagnostics to identify gaps, validate improvements, and inform product decisions.
  </li>
  <li>
   Customer-Centric Design: Ensure fundamentals efforts reflect real-world usage and customer scenarios, with a focus on quality, reliability, and inclusivity.
  </li>
  <li>
   Communication and Influence: Clearly articulate fundamentals goals, findings, and trade-offs to technical and non-technical stakeholders, including executives.
  </li>
  <li>
   Continuous Improvement: Drive a culture of learning and iteration, using data and experimentation to refine fundamentals processes and improve product fundamentals.
  </li>
  <li>
   Preferred hands-on experience or solid familiarity with the Microsoft technology stack (M365 Copilot extensibility, Azure Foundry, Copilot Studio, AI agents, Azure OpenAI, Graph Connectors, Microsoft Teams extensibility platform, etc.)
  </li>
  <li>
   Ability to function autonomously &ndash; self-starter with curiosity, comfortable with ambiguity and rapidly-changing environments, good cross-group collaboration and problem-solving skills, demonstrated growth mindset.
  </li>
  <li>
   Ability to build data-driven product experiences, define metrics, and use analytics to derive insights for product and business decisions.
   <br/>
   <br/>
  </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Product Manager II

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