Pune Maharashtra Technical lead (python, aws) Jobs – 543 Open Jobs Today

AI Technical Lead
Benchmark IT Solutions —Pune, Maharashtra
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
Quick apply
1d
Technical Lead
Map My Crop —Pune, Maharashtra
- From ₹30,00,000 a year
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
- Paid time off
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AI Technical Lead
RCG Global Services —Pune, Maharashtra
- Azure
- Master's degree
- AWS
Quick apply
VP - Technical Lead - Equity Technology
Jefferies & Company, Inc. —Pune, Maharashtra
- Full-time
- DevOps
- Java
- SQL
Lead Data Engineer
Rearc —Pune, Maharashtra
- ₹40,00,000 - ₹65,00,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Python
Quick apply
4d
Technical Lead (Python, AWS)
Shoreline IoT —Pune, Maharashtra
- Full-time
- English
- Databases
- SQL
Technical Program Manager
Avalara —Pune, Maharashtra
- Computer Science
- PMP
- SQL
- Health insurance
- Paid time off
Technical Lead
HCLTech —Pune, Maharashtra
- Azure
- Master's degree
- AWS
4d
Technical Lead - PHP, Python & AWS
ZYWAVE INC. —Pune, Maharashtra
- Full-time
- Computer Science
- DevOps
- Master's degree
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Tech Lead
MobileProgramming —Pune, Maharashtra
- Azure
- DevOps
- Java
Senior Software Engineer- Senior AI/ML Engineer AWS
CGI —Pune, Maharashtra
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
Snowflake Senior technical lead
EXL Service —Pune, Maharashtra
- Full-time
- Azure
- AWS
- APIs
2d
Technical Lead - Python & Solution Architecture
TISSA TECHNOLOGY —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Databases
Associate Director, Software Engineering
HSBC Global Services Limited —Pune, Maharashtra
- Full-time
- DevOps
- AWS
- APIs
8d
Manager, Global Platform Technology - ITAD
Ingram Micro —Pune, Maharashtra
- Full-time
- Azure
- Java
- AWS
Senior Software Engineer - AI/ML Engineer AWS
CGI —Pune, Maharashtra
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
AI Tech Lead
Leapfrog Technology —Pune, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
Quick apply
TECHNICAL LEAD
Coforge Ltd. —Pune, Maharashtra
- AWS
- Python
- HTML
11d
Lead Python
Scry Analytics —Pune, Maharashtra
- Computer Science
- DevOps
- Master's degree
Lead Associate - AI/Engineering
Davies —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- AWS
- Agile
Quick apply

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AI Technical Lead

Benchmark IT Solutions -
Pune, Maharashtra

Quick apply

Job details

Full-time
₹20,00,000 - ₹30,00,000 a year
1 day ago

Qualifications

Image processing
Azure
Law
PCI
System design
Test automation
Master's degree
AWS
ISO 27001
AI
Communication skills
Python

Full job description

The role

We need senior hands now. The AI practice runs several concurrent client platforms in regulated industries, and the engineering team supporting them is early-career. The Technical Lead becomes the day-to-day technical owner of that team: the person who turns architecture decisions into implementable designs, runs the design gate, reviews the code, unblocks the hard problems personally, and tells the Chief Architect and delivery leadership the truth about risk.

Expect the split to be roughly half hands-on engineering and half oversight. The hands-on half is the difficult half: retrieval architecture, agent orchestration, extraction accuracy, performance and cost. The oversight half is where you multiply — three to five engineers with one to two years of experience become independent owners of their workstreams within six months because of how you review, mentor and set standards.

What you will do

Own technical delivery of AI workstreams across concurrent client engagements: scope, design, sequencing, quality and honest estimates.
Run the pre-implementation design gate: review engineers' design notes, apply the tiered checklist, maintain the decisions register, and approve or send back before code is written.
Set and enforce engineering standards for LLM systems — evaluation suites as release gates, prompt and model versioning, cost and latency budgets, guardrails and injection defences, human approval gates, evidence and audit trails.
Personally build the hardest components: retrieval and re-ranking architecture, tool-calling and agent orchestration on Temporal, document extraction pipelines, on-premises and offline deployments.
Review code at scale, including code produced with AI coding tools; catch unvalidated model output, leaked secrets, missing tests and silent behavioural change before they merge.
Mentor early-career engineers with a deliberate plan: pair on design, grade their design notes, expand their ownership as they earn it.
Represent engineering with clients: explain trade-offs in plain language, push back on unsafe or unbounded asks, and turn vague requirements into a bounded phase-one scope.
Hold the security posture: secrets management via Vault and Key Vault, data residency, least-privilege access, and client confidentiality on on-premises work.
Build reusable Centre of Excellence assets — evaluation harness, RAG reference implementation, guardrail library, extraction patterns — so that the method travels across clients even when the code cannot.
Assess codebases and delivery risk candidly and communicate upward early, including when the news is unwelcome.

What you must bring

Two or more LLM systems that you shipped to production and operated, each with measurable quality gates. You can describe the incidents, what you measured, what you changed, and what you would do differently.
Deep Python and strong system design: multi-tenant SaaS, asynchronous pipelines, event- or workflow-driven orchestration, data modelling on document and relational stores.
Evaluation rigour as a habit: you have built eval datasets, chosen the metrics, and used them to block a release.
Cloud depth on Azure preferred (Azure AI Foundry, Azure OpenAI, AKS or App Service, Key Vault); AWS or GCP equivalents acceptable if the principles transfer.
Led a team of three or more engineers through delivery, including design reviews and code reviews you were accountable for.
Judgement about where a model does not belong, and the standing to say so to a client who wants one everywhere.
Clear written communication: design documents, decision records, risk memos. Comfortable in client-facing technical conversations.

What would set you apart

Temporal in production; durable, idempotent, resumable workflow design.
Document AI at depth: tiered OCR strategies, layout analysis, extraction accuracy measurement on real-world scanned records.
Computer vision for inspection or verification use cases (DETR-family detectors, DINOv2 backbones, ensembling and box-fusion methods) and release gates expressed as per-class recall.
Compliance frameworks applied to software delivery: GxP and 21 CFR Part 11, SOC 2, ISO 27001, HIPAA, PCI-DSS.
Test automation strategy with AI-assisted authoring (Playwright), and the governance of AI coding tools inside an engineering team.
Experience running a small engineering practice or CoE: standards, reusable assets, training, hiring.

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)

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