Porur Chennai Tamil Nadu Deployed engineer Jobs – 144 Open Jobs Today

Forward Deployed Applied AI Engineer
Broadmind INC —Chennai, Tamil Nadu
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Master's degree
- APIs
- In-person
Quick apply
19h
Forward Deployed Engineer (AI-Native Full Stack)
Applogiq —Chennai, Tamil Nadu
- Full-time
- JavaScript
- In-person
- AI
Quick apply
Forward Deployed Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
Databricks Solution Architect (Forward Deployed Engineer)
Unison Group —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- SQL
Quick apply
2d
Forward Deployed Engineer
Rocketlane —Chennai, Tamil Nadu
- Full-time
- Salesforce
- DevOps
- AWS
- Health insurance
Forward Deployed Engineer
VIT University —Chennai, Tamil Nadu
- ₹10,991.59 - ₹55,689.77 a month
- Full-time
- Hybrid work
- Azure
- System design
- Java
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Responsible AI Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- AI
Mid-Level AI/ML Engineer
Bourne Cloud India Private Limited —Chennai, Tamil Nadu
- ₹5,00,000 - ₹9,00,000 a year
- Full-time
- Hybrid work
- Java
- Machine learning
- AI
- Work from home
Quick apply
Associate / Technical Lead, Software Development
KLA —Chennai, Tamil Nadu
- Full-time
- Java
- Master's degree
- Analysis skills
Generative AI Technical Architect
Prodapt —Chennai, Tamil Nadu
- Remote
- Salesforce
- Master's degree
- Databases
AI / ML Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Machine learning
- Computer networking
- AI
Forward Deployed Engineer - Tech Lead - Gen AI
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- AWS
- APIs
Quick apply
2d
Logistics Material Planner - Sr. Engineer
Bosch Group —Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Bachelor's degree
- Conflict management
Quick apply
13d
Senior AI/ML Engineer (LLM, Kafka & Kubernetes)
Rytsense Technologies —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
Algorithm Manager
KLA —Chennai, Tamil Nadu
- Full-time
- Doctoral degree
- Computer Science
- B.Sc
Senior Infrastructure Platform Engineer
TD Synnex —Chennai, Tamil Nadu
- Full-time
- Linux
- Python
Lead Analyst, Algorithm Research & Development
KLA —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Cloud Engineer - Chennai
Tivona Global Technologies —Chennai, Tamil Nadu
- Email
- Azure
- Computer Science
- Windows
AI Software Engineer
Worksbot Applications Private Limited —Chennai, Tamil Nadu
- From ₹4,00,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
AI/ML Solutions Architect - PostgreSQL
HCLTech —Chennai, Tamil Nadu
- Azure
- Master's degree
- Databases
8d

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Forward Deployed Applied AI Engineer

Broadmind INC
Chennai, Tamil Nadu

Quick apply

Job details

Full-time
₹25,00,000 - ₹30,00,000 a year
19 hours ago

Qualifications

Law
MCP
Kubernetes
Master's degree
SDKs
REST
APIs
Kafka
AI
gRPC
Python

Full job description

VERIZON AI PLATFORM

Forward Deployed Applied AI Engineer

Level: Senior Individual Contributor (Band 5–6)

Reports To: Head of AI Platform Engineering (dotted line to BU Tech Lead)

Location: Chennai,

Experience: 5–8 years engineering; 2+ years production LLM/GenAI; 1+ year agentic systems

The Role

You sit inside a Verizon business unit — not on the platform team — and turn the Verizon AI Platform's building blocks into production agents, workflows, and integrations that solve real operational problems. You discover the opportunity, build the solution, ship it, and measure it. You're also the platform team's eyes and ears: feeding signal back on what to build next.

What You'll Do

Solution Discovery & Agent Development

Embed with domain teams to surface high-value AI opportunities and validate feasibility
Design and deploy AI agents using LangGraph, Google ADK, or Verizon Agent SDK (pyvegas)
Register agents in the Agent Registry with proper versioning, permissions, and MCP integrations

Context Engineering & Integration

Build retrieval pipelines grounded in Customer 360, network telemetry, and product catalog data
Wire agents to internal systems via the MCP Tool Gateway (billing, CRM, network inventory, Catalyst workflows)
Handle auth, rate limiting, error recovery, and fallback logic — demo to production, not just demo

Evaluation, Adoption & Feedback

Define success metrics with the BU; build eval harnesses and continuous benchmarking
Tune guardrails for domain risks (CPNI, safety-critical network ops, financial accuracy)
Run workshops, pair-program with domain engineers, and turn AI skeptics into AI builders
File platform improvement tickets — you're the voice of the BU to the platform team

What You Won't Do

You don't build platform infrastructure, set RAI policy, select models, or manage a team. You're a force-multiplier IC focused entirely on shipping domain solutions that work at scale.

Required Qualifications

Technical — Must Have

Python: production-grade (not notebook-grade)
Agentic frameworks: LangGraph, Google ADK, or CrewAI — multi-step agents with tool use, memory, and error recovery
LLM integration: GPT-4, Claude, or Gemini APIs; prompt engineering, structured outputs, function calling
RAG pipelines: embeddings, vector stores, reranking, hybrid search — designed and deployed in production
API & systems: REST/gRPC, OAuth/SAML, message queues, event-driven architecture
Evaluation & observability: eval harnesses, trace analysis, quality monitoring for AI systems
MCP / Tool Orchestration: model context protocol, tool registries, schema-driven tool dispatch

Technical — Strong Plus

Verizon Agent SDK (pyvegas) or similar enterprise agent SDK
Kubernetes / containerized deployment for AI workloads
Streaming data (Kafka, Flink) for real-time context enrichment
Fine-tuning, RLHF, or RLAIF experience

Non-Technical — Equally Critical

understand unit economics — handle time, deflection rate, MTTR, NPS, conversion Business acumen:
uncover the real problem, not just fulfill the stated request Consultative mindset:
translate AI trade-offs for non-technical stakeholders; present to VPs Communication:
measured on agents in production, not on decks presented Bias to shipping:
you discover the problem, define the approach, build it, and measure it Comfort with ambiguity:

Reach me at [email protected] / +91 9381175498

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

deployed engineer jobs in porur chennai tamil nadu

Forward Deployed Applied AI Engineer

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AI Software Engineer

AI/ML Solutions Architect - PostgreSQL

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