Chakan Pune Maharashtra Architect ai/ml Jobs – 16 Open Jobs Today

Senior AI Lead
PinnacleU —Baner, Pune, Maharashtra
- ₹40,00,000 - ₹45,00,000 a year
- Full-time
- Salesforce
- Java
- Master's degree
Quick apply
Lead Architect- AI/ML
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- Doctoral degree
- Computer Science
Senior AI Engineer
Bluebenz Digitalization Pvt Ltd —Baner, Pune, Maharashtra
- ₹6,72,253.66 - ₹8,68,409.32 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Flexible schedule
Quick apply
Architect - AI/ML
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- AI
- Leadership
Data Architect (Snowflake & Databricks)
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- SQL
- AWS
Principal Architect
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- Master's degree
- Databases
Sr Technical Lead-Gen AI
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- Master's degree
- AI
Sr Architect
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- DevOps
- Master's degree
14d
Associate Data Scientist
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- SQL
Multi-Cloud (AWS/Azure/GCP) Technical Architect
Dentsu —Kharadi, Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
3d
Lead Architect - AI/ML
BirlaSoft —Hinjawadi, Pune, Maharashtra
- AI
Sr Technical Lead-App Development
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- System design
- AWS
Principal Software Quality Assurance Engineer
Cerence —Hinjewadi, Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Technical Lead - (Azure/AWS/GCP)
Dentsu —Kharadi, Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Lead GenAI Engineer
Go Digital Technology Consulting —Kalyani Nagar, Pune, Maharashtra
- Full-time
- Remote
- AWS
- Machine learning
- APIs

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Senior AI Lead
PinnacleU —Baner, Pune, Maharashtra
Collaborate with data engineering to design data models and pipelines that power AI features and insights. Own the architecture of production-grade chat and…
₹40,00,000 - ₹45,00,000 a year
Quick apply
Lead Architect- AI/ML
BirlaSoft —Hinjawadi, Pune, Maharashtra
The AI/ML Architect / Lead will also be responsible for staying up-to-date with the latest industry trends and technologies to ensure our company remains…

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Senior AI Lead

PinnacleU
Baner, Pune, Maharashtra

Quick apply

Job details

Full-time
₹40,00,000 - ₹45,00,000 a year

Qualifications

CI/CD
Node.js
Law
Enterprise Software
Salesforce
Encryption
Java
Master's degree
Scala
Continuous integration
APIs
AI
Python

Full job description

Position: Senior AI Lead – Document, Conversational & Data Intelligence

Location: Baner, Pune

Working Days: 5 days

Experience Required: 7+ Years

Role Overview

Our Client is hiring a Senior AI Lead to own and scale our AI stack across document intelligence, conversational intelligence, and data intelligence. You will turn prototypes into robust, production-grade capabilities that integrate deeply with customer systems and meet strict standards for scale, reliability, and security.

You will work closely with product and engineering leadership, lead a small high-performing AI team, and directly influence how universities and institutions experience Our Client’s platform.

Key Responsibilities

1. AI Strategy & Architecture

Define and own the end-to-end AI architecture across document, conversational, and data intelligence.

Design multi-tenant, cloud-native AI services optimized for performance, cost, and reliability.

Establish standards for prompt engineering, tool/agent orchestration, RAG, fine-tuning, evaluation, and monitoring.

Translate product requirements into clear technical designs, milestones, and delivery plans.

2. Document Intelligence

Lead design and implementation of document understanding pipelines for transcripts, forms, financial docs, policies, and knowledge bases.

Build capabilities for OCR, layout analysis, entity extraction, classification, validation, and summarization.

Implement retrieval-augmented generation over large document corpora, including indexing, chunking, and relevance tuning.

Define quality metrics and automated evaluation suites to continuously improve accuracy, robustness, and latency.

3. Conversational Intelligence

Own the architecture of production-grade chat and voice assistants across web, mobile, and telephony channels.

Design agentic workflows combining LLMs, tools/APIs, memory, and business rules to support complex student and staff journeys.

Implement guardrails, policies, and UX patterns to minimize hallucinations and ensure safe, compliant responses.

Set up a rigorous evaluation framework for conversation quality, containment, user satisfaction, and escalation performance.

4. Customer System Integrations

Architect and oversee integrations with customer CRMs, SIS, telephony, and data platforms (e.g., Salesforce, contact centers, data warehouses).

Define API and event-driven integration patterns for both real-time and batch scenarios.

Ensure AI features respect tenant boundaries, roles/permissions, and customer-specific configurations.

Partner with solutions/implementation teams to make deployment repeatable, configurable, and maintainable across institutions.

5. Data Intelligence & Analytics

Collaborate with data engineering to design data models and pipelines that power AI features and insights.

Lead development of models and heuristics for scoring, routing, prioritization, and personalization based on behavioral and conversational signals.

Define and maintain dashboards and KPIs for AI performance, adoption, and business impact.

Drive an experimentation culture with A/B tests, staged rollouts, and data-driven iteration.

6. Production, Scale & Security

Ensure all AI services meet enterprise standards for uptime, resiliency, and observability.

Define and enforce best practices for logging, tracing, alerting, and model/service health monitoring.

Work with security and compliance teams to align with data privacy regulations, including encryption, access control, and data retention policies relevant to education.

Implement robust processes for model and configuration versioning, canary deployments, and safe rollbacks.

7. Leadership & Collaboration

Lead and mentor AI/ML engineers, data scientists, and AI application engineers.

Collaborate closely with product, platform engineering, implementation, and customer success to ensure AI capabilities deliver real outcomes.

Participate in key customer meetings to understand requirements, shape solutions, and represent Our Client’s AI strategy.

Contribute to hiring, career development, and setting the technical bar for AI roles at Our Client.

Required Experience

6–10 years of experience in software engineering and/or applied ML, with at least 4–5 years focused on building AI products.

Proven track record of taking AI solutions (LLM or traditional ML) from PoC to production in a SaaS or enterprise environment.

Hands-on experience with:

Large language models and orchestration (prompting, tools, agents, RAG).

Document understanding (OCR, layout, extraction, classification, semantic search).

Conversational AI (chatbots, voicebots, agent assist) with measurable outcomes.

Strong programming skills in one or more of: Python, Node.js, Java/Scala (or similar).

Experience designing and operating cloud-native services (containers, CI/CD, infrastructure as code).

Experience integrating with enterprise systems such as CRMs, telephony platforms, and data platforms.

Familiarity with security and compliance considerations in regulated industries (education, healthcare, finance, or similar).

Quick apply

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architect ai/ml jobs in chakan pune maharashtra

Senior AI Lead

Lead Architect- AI/ML

Senior AI Engineer

Architect - AI/ML

Data Architect (Snowflake & Databricks)

Principal Architect

Sr Technical Lead-Gen AI

Sr Architect

Associate Data Scientist

Multi-Cloud (AWS/Azure/GCP) Technical Architect

Lead Architect - AI/ML

Sr Technical Lead-App Development

Principal Software Quality Assurance Engineer

Technical Lead - (Azure/AWS/GCP)

Lead GenAI Engineer

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