Pammal Chennai Tamil Nadu Forward deployed engineer Jobs – 51 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
1d
Forward Deployed Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Machine learning
- AI
- Python
Forward Deployed Engineer
Rocketlane —Chennai, Tamil Nadu
- Salesforce
- DevOps
- AWS
- Health insurance
Databricks Solution Architect (Forward Deployed Engineer)
Unison Group —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- SQL
Quick apply
3d
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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Forward Deployed Engineer (Architect) - Gen AI
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- AWS
- APIs
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6d
Forward Deployed Engineer - Tech Lead - Gen AI
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- AWS
- APIs
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3d
Cloud Engineer - Chennai
Tivona Global Technologies —Chennai, Tamil Nadu
- Email
- Azure
- Computer Science
- Windows
Devops Engineer
Tivona Global Technologies —Kancheepuram District, Tamil Nadu
- Email
- Azure
- Computer Science
- DevOps
Sr Cloud / Devops Engineer
Tivona Global Technologies —Kancheepuram District, Tamil Nadu
- Email
- Azure
- Computer Science
- Windows
Senior Platform Engineer
Komodo Health —Chennai, Tamil Nadu
- Rotational shift
- Remote
- Master's degree
- Databases
- AWS
Quick apply
AI Sales Manager (Chennai)
Blue Machines AI —Chennai, Tamil Nadu
- Full-time
- Sales
- Master's degree
- Business development
Quick apply
Manual Quality Assurance Engineer, SIMBA Team - Chennai, India
Speechify —Chennai, Tamil Nadu
- Full-time
- Remote
- Computer Science
- B.Sc
- Project management
11d
Azure Cloud Infrastructure Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- AWS
- Communication skills
2d
Technical Lead, HPC Software Systems
KLA —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Java
- Master's degree
11d
Senior Software Engineer
Guidehouse —Chennai, Tamil Nadu
- Azure
- Computer Science
- Databases
2d
Analyst - Founder's Office
Rocketlane —Chennai, Tamil Nadu
- Communication skills
Software Engineer
Guidehouse India Pvt Ltd —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Databases
3d
Senior Software Engineer
Guidehouse India Pvt Ltd —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Databases
3d

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Forward Deployed Applied AI Engineer
Broadmind INC —Chennai, Tamil Nadu
You're a force-multiplier IC focused entirely on shipping domain solutions that work at scale. Run workshops, pair-program with domain engineers, and turn AI…
₹25,00,000 - ₹30,00,000 a year
Quick apply
1d
Forward Deployed Engineer
Accenture —Chennai, Tamil Nadu
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence…

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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
1 day 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

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