Deputy Manager | AI Engineer
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Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
-
Role Overview:
To build out AI capabilities across sales customer experience operations and enterprise functions. We are looking for a Technical Program Manager AI who can take AI initiatives from idea use case production at scale.
This role sits within the AI team and requires someone who can bridge business problems with AI/ML capabilities working closely with data scientists engineers and business stakeholders to deliver measurable impact.
This is a hands-on high-ownership role - you will be expected to bring structure to ambiguity move fast and ensure AI initiatives dont remain pilots but translate into real business value.
What Youll Do
Support AI Programs End-to-End
Own delivery of AI/ML initiatives from use case definition to deployment and adoption
Define roadmaps success metrics (business model KPIs) and execution plans
Ensure AI solutions move beyond PoCs into scalable production-grade systems
Translate Business Problems into AI Use Cases
Work with business teams (sales marketing CX operations) to identify high-impact AI opportunities
Convert business problems into structured AI use cases (e.g. lead scoring personalization forecasting automation)
Collaborate with data science teams on feasibility data requirements and model approach
Bridge AI Data & Engineering
Work closely with data scientists ML engineers and data engineers on solution design
Understand data pipelines model lifecycle and system integration challenges
Ensure alignment between model development and production deployment
Stakeholder & Execution Management
Align business AI teams and tech teams on priorities and timelines
Drive decision-making across stakeholders with competing expectations
Remove blockers and push programs toward outcomes
Executive Communication
Build crisp executive narratives around AI initiatives (value impact risks)
Communicate complex AI concepts in simple business terms
Provide visibility on program status adoption and ROI
Artifacts & Governance
Create structured documentation: use case definitions BRDs model requirement docs process flows
Define governance for AI programs (tracking validation deployment readiness)
Ensure proper documentation and traceability of decisions
Core Competencies
AI & Data Fluency: Strong understanding of AI/ML data pipelines analytics and model lifecycle.
- Techno-Functional Expertise: Connects business needs to data models systems and outcomes; comfortable with APIs and integrations.
- Execution & Builder Mindset: Translates AI concepts into actionable programs with a strong focus on delivery.
- Program Leadership: Experience leading complex cross-functional AI/data initiatives using Agile or hybrid methodologies.
- Stakeholder Management: Effectively engages senior leaders and technical teams driving alignment and clarity.
- Executive Communication: Simplifies AI concepts for business audiences with strong presentation and storytelling skills.
- Presentation Skills: Proficient in creating high-quality PowerPoint decks and executive communications.
Experience & Background
8 12 years in Technical Program Management / Consulting / Data / AI programs
Experience delivering AI/ML or data-driven products/use cases in production
Strong exposure to digital transformation initiatives
Experience in real estate customer platforms or enterprise systems is a plus
Background in engineering data or analytics preferred
Must Have
Experience with GenAI / LLM use cases (chatbots copilots document automation Agentic AI etc.)
Familiarity with cloud platforms (AWS Azure GCP) and data ecosystems
Exposure to tools like Power BI Tableau Snowflake Databricks
Certifications in AI data or program management
What Success Looks Like
AI use cases move from idea production measurable business impact
Clear linkage between AI initiatives and revenue CX or efficiency gains
Strong adoption of AI solutions across business teams
Leadership has clear visibility into AI roadmap ROI and progress
Office Model: Hybrid
Location: Bengaluru Chennai Hyderabad Pune Mumbai Delhi
Monthly Bill Rate: 200000 - 280000
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Regards
Rahul SahaResource Management Contracting Deloitte India
sPInE (Less of staffing more of People Insights and Experiences)
An integrated solution for all staffing/resourcing related insights (Available on Mobile as well)
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Job Location: Bengaluru Chennai Hyderabad Pune Mumbai Delhi
MAX Budget: 28.5LPA
Regards
Shamsher----- Forwarded Message -----From: Saha Rahul - ExtSent: Monday June 22 2026 at 04:14:39 PM GMT5:30Subject: New requirement - Deputy Manager AI Engineer Bengaluru - 045696 (Snehals Team)I have received a new requirement from the business.
Role Overview:
To build out AI capabilities across sales customer experience operations and enterprise functions. We are looking for a Technical Program Manager AI who can take AI initiatives from idea use case production at scale.
This role sits within the AI team and requires someone who can bridge business problems with AI/ML capabilities working closely with data scientists engineers and business stakeholders to deliver measurable impact.
This is a hands-on high-ownership role - you will be expected to bring structure to ambiguity move fast and ensure AI initiatives dont remain pilots but translate into real business value.
What Youll Do
Support AI Programs End-to-End
Own delivery of AI/ML initiatives from use case definition to deployment and adoption
Define roadmaps success metrics (business model KPIs) and execution plans
Ensure AI solutions move beyond PoCs into scalable production-grade systems
Translate Business Problems into AI Use Cases
Work with business teams (sales marketing CX operations) to identify high-impact AI opportunities
Convert business problems into structured AI use cases (e.g. lead scoring personalization forecasting automation)
Collaborate with data science teams on feasibility data requirements and model approach
Bridge AI Data & Engineering
Work closely with data scientists ML engineers and data engineers on solution design
Understand data pipelines model lifecycle and system integration challenges
Ensure alignment between model development and production deployment
Stakeholder & Execution Management
Align business AI teams and tech teams on priorities and timelines
Drive decision-making across stakeholders with competing expectations
Remove blockers and push programs toward outcomes
Executive Communication
Build crisp executive narratives around AI initiatives (value impact risks)
Communicate complex AI concepts in simple business terms
Provide visibility on program status adoption and ROI
Artifacts & Governance
Create structured documentation: use case definitions BRDs model requirement docs process flows
Define governance for AI programs (tracking validation deployment readiness)
Ensure proper documentation and traceability of decisions
Core Competencies
AI & Data Fluency: Strong understanding of AI/ML data pipelines analytics and model lifecycle.
- Techno-Functional Expertise: Connects business needs to data models systems and outcomes; comfortable with APIs and integrations.
- Execution & Builder Mindset: Translates AI concepts into actionable programs with a strong focus on delivery.
- Program Leadership: Experience leading complex cross-functional AI/data initiatives using Agile or hybrid methodologies.
- Stakeholder Management: Effectively engages senior leaders and technical teams driving alignment and clarity.
- Executive Communication: Simplifies AI concepts for business audiences with strong presentation and storytelling skills.
- Presentation Skills: Proficient in creating high-quality PowerPoint decks and executive communications.
Experience & Background
8 12 years in Technical Program Management / Consulting / Data / AI programs
Experience delivering AI/ML or data-driven products/use cases in production
Strong exposure to digital transformation initiatives
Experience in real estate customer platforms or enterprise systems is a plus
Background in engineering data or analytics preferred
Must Have
Experience with GenAI / LLM use cases (chatbots copilots document automation Agentic AI etc.)
Familiarity with cloud platforms (AWS Azure GCP) and data ecosystems
Exposure to tools like Power BI Tableau Snowflake Databricks
Certifications in AI data or program management
What Success Looks Like
AI use cases move from idea production measurable business impact
Clear linkage between AI initiatives and revenue CX or efficiency gains
Strong adoption of AI solutions across business teams
Leadership has clear visibility into AI roadmap ROI and progress
Office Model: Hybrid
Location: Bengaluru Chennai Hyderabad Pune Mumbai Delhi
