AI Fullstack Developer - Pune

Hi,

We are having an opening for Technical Solutions Manager Marketing and Commercial D&T- Pune

Purpose of the Job:
A D&T Technical Solution Manager Marketing and Commercial plays a critical role in bridging the gap between business needs and technical implementation within an organization. They ensure that technology solutions align with business goals and effectively address client requirements.
The Technical Solution Manager is responsible for overseeing the development, implementation and running of smart technology solutions that meet the business requirements of customers or the organization. This role involves collaborating with various stakeholders, including customers, project
managers, developers, infrastructure and other technical teams, to deliver high-quality solutions on me and within budget.

Working Days: Monday - Friday
Job timing: 10 to 7 pm IST
Any 1 day weekly work from home (Tuesday to Friday )
PositionD&T Technical Solutions Manager Marketing and CommercialQualificationBachelors degree in Computer Science, Information Technology, Engineering, or a related field.Number of post1Office LocationPune kharadiJob TypeFull Time GenderMale/FemaleSalaryAs per company norms.Previous Work Experience

• 9+ years of experience in a technical role.
• At least 2 years in a leadership or managerial position.
• 2+ years Goggle Cloud Platform experience with production applications
• Front end react js, full stack UI , UX Developer with AI coding with solution architect

Interview Process2-3 Technical Round , 1 Assessment test Matrix Roles & ResponsibilitiesOperation:

• Act as the lead solution architect and senior engineer for complex initiatives
• Design and oversee implementation of solutions leveraging:
• Vertex AI (ML pipelines, GenAI capabilities)
• Gemini models (LLM-powered use cases)
• Dialogflow CX/ES (chatbots and voice bots)

Define reference architectures for:

• Conversational AI
• GenAI-powered workflows (RAG, summarisation, automation)

Provide hands-on contribution to:

• Solution design
• Code reviews
• Troubleshooting critical issues

Lead and manage a multi-disciplinary team including:

• Full stack developers
• AI & Conversational Engineers

Own:

• Resource planning and capacity management
• Skill development and technical coaching
• Delivery quality and engineering standards

Establish best practices and reusable frameworks across:

• GCP development
• AI/GenAI implementation
• API and integration design

Own the end-to-end lifecycle of:

• Chatbots (web, app, WhatsApp, etc.)
• Voice bots (IVR integrations)
• AI-driven customer engagement use cases

Define and enforce:

• Conversational design standards
• Intent and flow governance
• Performance optimisation frameworks
• Collaborate with Domain Architects on architecture decisions &tech debt triage
• Roadmap alignment with business
• Lead quarterly GCP cost review
• Own and govern solutions deployed on Google Cloud Platform, including:
• Architecture standards
• Cost optimisation
• Security and compliance (data residency, access control)

Ensure proper use of:

• Vertex AI services
• APIs and microservices
• Cloud-native design principles

Customer:

• Serve as the primary technical partner to business stakeholders
• Translate business requirements into:
• Scalable solutions
• Prioritised delivery roadmap
• Manage:
• Demand intake and backlog
• Change requests and enhancements
• Ensure alignment between:
• Business objectives
• Technical feasibility
• Platform strategy
• Collaborate with BA team to validate and verify business requirements.
• Collaborate with shared services teams to understand customer needs and preferences and provide actionable recommendations for improving customer experience.
• Provide feedback and recommendations for future projects based on lessons learned.
• Escalation point for P1 incidents

People:

• Coordinate with project managers to ensure projects are delivered on time, within scope, and within budget.
• Lead and mentor a team of experts to provide full system support activities comprising of AI & Conversational engineer, Full Stack Developers.
• Execute Sprint planning & capacity management
• Ensure the team adheres to best practices and industry standards.
• Foster a collaborative and productive team environment.

Skills

• Goggle Cloud Platform Professional Cloud Architect
• Deep understanding of:
• LLMs (Gemini, open-source, or proprietary)
• Prompt engineering and RAG architectures

Experience in:

• API-led architectures and microservices
• Full stack development (frontend + backend)

Working knowledge of:

• Data integration, event-driven architecture
• Vector databases and semantic search
• Proven experience delivering:
• Chatbots and voice bots at scale
• AI-driven customer service solutions

Strong grasp of:

• Conversational design principles
• Multi-turn dialogue orchestration
• Experience managing cross-functional engineering teams

Strong delivery management capability across:

• Agile environments
• Complex, multi-system integrations

Ability to balance:

• Hands-on technical contribution
• Strategic oversight
• Proficiency in System & API design
• Knowledgeable on cost & quota management in cloud environments
• Proficiency in relevant programming languages and technologies REACT, node.js, Python.
• Strong understanding of software development methodologies and lifecycle (SDLC).
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects and priorities simultaneously.
• Support systems implementations when needed.

JoiningImmediate