Associate Director – AI Delivery

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🛡️ Verified Career Listing Directly reviewed and cross-referenced with hiring sources.

Vitric Business Solutions Pvt. Ltd.

Vitric Business Solutions Pvt. Ltd. Logo
🎓 Engineering
📍 Pune, Maharashtra, India
💼 11 - 12 years
✔ Verified Job
Email Application
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Vitric Business Solutions Pvt. Ltd. is hiring an Associate Director – AI Delivery for its Pune location. The role requires 8–12 years of experience in leading complex customer-facing technology or AI transformation engagements. The ideal candidate should have strong knowledge of ML, GenAI, LLMs, RAG, Agentic AI, and AI engineering frameworks such as LangChain and LangGraph. The position involves managing delivery roadmaps, multidisciplinary teams, customer relationships, and business outcomes. Immediate joiners and early joiners are preferred.

Job Overview

Particulars Details
Position Associate Director – AI Delivery
Company Vitric Business Solutions Pvt. Ltd.
Location Pune, Maharashtra, India
Job Type Full-Time
Experience 11 - 12 years
Category / Department Engineering
Application Mode Email

🏢 About Vitric Business Solutions Pvt. Ltd.

Company Overview:
Founded in 2016, Vitric is a transformation partner helping organizations build capabilities and scale sustainably across technology, talent, and supply chain operations. The company provides agile IT services, specialized recruitment, and supply chain management solutions.

Vitric partners with global enterprises through an agile, outcome-driven delivery model. Its multidisciplinary in-house team includes Supply Chain SMEs, Technical Leads, AI Engineers, and Product and Platform specialists. The company reports working with 25+ active clients and a talent ecosystem of over 10,000 professionals.

Company Mission:
To deliver innovative technology solutions that drive business success, empower clients to achieve their goals, accelerate growth, and maximize efficiency through excellence, integrity, and customer satisfaction.

Company Vision:
To architect, design, and develop solutions that help clients achieve customer satisfaction and excel in their businesses.

Core Values / Principles:
- Excellence
- Integrity
- Customer satisfaction
- Hands-on execution
- Agile and outcome-driven delivery
- Building long-term client capabilities
- Sustainable growth
- Strong client partnerships

💡 Editor's Note / Preparation Tip

Resume Tips:
- Highlight 8–12 years of experience in technology delivery, AI delivery, or transformation engagements.
- Showcase end-to-end delivery ownership with measurable business outcomes.
- Include hands-on exposure to ML, GenAI, LLMs, RAG, and Agentic AI.
- Mention experience with LangChain, LangGraph, APIs, integrations, and AI agents.
- Highlight leadership experience managing AI, data, and software engineering teams.
- Include examples of stakeholder management, resource planning, estimation, and risk management.

Interview Preparation:
- Prepare examples of complex AI or technology projects delivered from planning through production.
- Be ready to explain RAG architectures, LLM applications, and Agentic AI use cases.
- Review LangChain, LangGraph, tool calling, and API integration concepts.
- Prepare examples of handling delivery risks, resource constraints, and senior stakeholder expectations.
- Understand AI governance, security, evaluation, observability, and production readiness.

Professional Tips:
- Demonstrate both technical understanding and delivery leadership.
- Explain how AI initiatives translate into measurable business value.
- Be prepared to discuss customer-facing transformation engagements.
- Highlight immediate or early joining availability if applicable.
Note: These are general preparation suggestions for candidates, not confirmed additional responsibilities or mandatory requirements for this vacancy.

📝 Job Description

Position Details:
- Job Title: Associate Director – AI Delivery
- Company: Vitric Business Solutions Pvt. Ltd.
- Location: Pune, Maharashtra, India
- Experience: 8–12 Years
- Notice Period: Immediate / Early Joiners
- Work Mode: Not Provided
- Job Type: Not Provided
Benefits / Compensation:
- Salary: Not Provided
- Benefits: Not Provided

Candidate Requirements:
- Proven experience in end-to-end delivery of complex technology or AI engagements.
- Strong technical understanding of Machine Learning, Generative AI, LLMs, RAG, and Agentic AI.
- Working knowledge of LangChain, LangGraph, AI agents, tool calling, APIs, and integrations.
- Experience managing delivery roadmaps, resource planning, estimates, risks, and business outcomes.
- Ability to lead multidisciplinary AI, data, and software engineering teams.
- Strong customer relationship management and senior stakeholder engagement skills.
- Understanding of production readiness, AI governance, security, evaluation, and observability.

Preferred Skills:
- Exposure to pre-sales activities.
- Solution validation experience.
- Delivery estimation experience.

Working Days & Hours:
- Working days: Not Provided.
- Working hours: Not Provided.

How to Apply:
Interested candidates can share their updated CV at yashana@vitric.in or contact the recruiter through direct message for further details.

🎯 Key Responsibilities

  • ✓ Based on the supplied job requirements, the role involves:
  • ✓ Leading end-to-end delivery of complex technology and AI engagements.
  • ✓ Driving customer-facing AI transformation and AI-native engineering initiatives.
  • ✓ Managing delivery roadmaps, project estimates, resource planning, and delivery risks.
  • ✓ Ensuring delivery aligns with business objectives and expected outcomes.
  • ✓ Leading multidisciplinary AI, data, and software engineering teams.
  • ✓ Managing customer relationships and engaging with senior stakeholders.
  • ✓ Overseeing production readiness and considerations around AI governance, security, evaluation, and observability.
  • ✓ Supporting pre-sales, solution validation, and delivery estimation where required.

💡 Required Qualifications & Skills

✓ End-to-end technology and AI delivery management ✓ Machine Learning (ML) ✓ Generative AI (GenAI) ✓ Large Language Models (LLMs) ✓ Retrieval-Augmented Generation (RAG) ✓ Agentic AI ✓ LangChain and LangGraph ✓ AI agents and tool calling ✓ APIs and integrations ✓ Delivery roadmap management ✓ Resource planning and estimation ✓ Risk management ✓ Business outcome management ✓ Multidisciplinary team leadership ✓ Customer relationship management ✓ Senior stakeholder engagement ✓ AI production readiness ✓ AI governance and security ✓ AI evaluation and observability ✓ Additional Advantage: ✓ Pre-sales ✓ Solution validation ✓ Delivery estimation

🚀 Career Guidance & Interview Insights

To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.

Joining as a Associate Director – AI Delivery offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.

Expected Career Progression Roadmap:

The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).

Expected Technical & Behavioral Questions:

  • Q1: How do you optimize database query performance?
    Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis).
  • Q2: Explain the differences between Microservices and Monolithic architecture.
    Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices.
  • Q3: How do you handle merge conflicts in Git?
    Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
💡 Pro-Tip: Before your interview, research the company's recent news, product launches, and Glassdoor work reviews. Prepare 2-3 thoughtful questions for the interviewer regarding team dynamics and success metrics for this role.

To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:

  • Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
  • Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
  • Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated Market Compensation in India:

Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.

Suggested Professional Certifications:

Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).

Contact Email: yashana@vitric.in

Frequently Asked Questions

1. What is the job title?
Associate Director – AI Delivery.

2. Which company is hiring?
Vitric Business Solutions Pvt. Ltd.

3. Where is the job located?
Pune, Maharashtra, India.

4. How much experience is required?
Candidates should have 8–12 years of experience.

5. What is the preferred notice period?
Immediate joiners and early joiners are preferred.

6. What AI technologies should candidates understand?
ML, GenAI, LLMs, RAG, and Agentic AI.

7. Is knowledge of LangChain and LangGraph required?
Yes. Working knowledge of LangChain, LangGraph, AI agents, tool calling, APIs, and integrations is listed as a key requirement.

8. Will the candidate manage teams?
Yes. The role requires leading multidisciplinary AI, data, and software engineering teams.

9. Is pre-sales experience required?
Exposure to pre-sales, solution validation, and delivery estimation is an advantage.

10. How can interested candidates apply?
Candidates can email their CV to yashana@vitric.in or send a direct message for more details.

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