Banashankari Bengaluru Karnataka Software engineer forward deployed engineering, itc Jobs – 81 Open Jobs Today

Group Technical Architect
HCLTech —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Large Language Model Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Computer science
- Doctoral degree
- Computer Science
9d
Principal Engineer - Test
Codvo.ai —Bengaluru, Karnataka
- Azure
- DevOps
- Master's degree
Senior Platform Engineer
Komodo Health —Bengaluru, Karnataka
- Rotational shift
- Remote
- Master's degree
- Databases
- AWS
Quick apply
Sr Advanced Enterprise Architect
Resideo —Bengaluru, Karnataka
- Full-time
- Azure
- Software troubleshooting
- Microsoft Office
Corporate Business Analyst - Intelligence
ITC WORLDWIDE —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Azure
- Master's degree
Quick apply
Senior Manager, Data Science
Zebra Technologies —Bengaluru, Karnataka
- Full-time
- Hybrid work
- SQL
- Machine learning
- Travel
3d
Sr. Recruiter, GTM – Field Engineering (Contract)
Databricks —Bengaluru, Karnataka
- Recruiting
3d
Portfolio Leader (Builder People Lead)
Salesforce —Bengaluru, Karnataka
- Full-time
- Management
- Salesforce
- APIs
Senior Signal Processing Engineer
Texas Instruments —Bengaluru, Karnataka
- Master's degree
- Electrical experience
- Bachelor's degree
Azure Native Architect - M365/SharePoint
ITC WORLDWIDE —Bengaluru, Karnataka
- Azure
- SharePoint
Quick apply
Dynamics 365 Finance and Supply Chain Training Consultant
ITC WORLDWIDE —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Azure
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Forward Deployed Engineer
HackerRank Careers —Bengaluru, Karnataka
- APIs
- Python
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Senior AI Engineer
Get Well Network —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
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Group Technical Architect

HCLTech -
Bengaluru, Karnataka

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Job details

Qualifications

CI/CD
Azure
Law
MCP
Supply chain
Master's degree
OS Kernels
AWS
Continuous integration
SDKs
Human resources
Mentoring
APIs
Less (style sheet language)
AI
Python

Full job description

Bengaluru, Karnataka
Job Summary

As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables

Key Responsibilities

Responsibilities

Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not weeks.
Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI.
Own efficiency as the scorecard: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve.
Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration.
Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication.
Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable.
Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python.
Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships.
Own AgentOps / DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one.
Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design.
Stay ahead of the curve: adopt evolving agent frameworks and patterns quickly, and bring field learnings back to the practice.
Lead and mentor: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability.

Skill Requirements

Language: Python preferable
Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework / Semantic Kernel. Framework choice follows the engagement; the discipline is the same.
Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost.
Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems.

Must Have Skills

Strong Python engineering ; idiomatic, typed, tested and packaged code; on a foundation of solid software engineering principles (design, version control, architecture).
Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework / Semantic Kernel).
Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG / context graphs, tool / function calling, MCP, and multi-agent orchestration.
Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability.
Standards-based integration and DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps.
Ability to conceptualize a business problem as an agent quickly, and operate effectively in ambiguous, customer-embedded settings.
Client-facing maturity: translates fluidly between technical and non-technical stakeholders, and owns outcomes.
Experience mentoring or leading small engineering teams.

Other Requirements

Preferred Skilla

Fluency across multiple ADKs and the judgment to pick the right one per engagement.
Deploying agents to managed runtimes at enterprise scale (e.g. Vertex AI Agent Engine, Bedrock AgentCore) with governance and cost control.
Domain depth in a transformation area - finance operations, supply chain, HR, claims or compliance.
Experience with an enterprise agent platform, including Responsible AI and governance at scale.
A track record of turning agents into reusable accelerators or IP adopted beyond a single engagement.

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software engineer forward deployed engineering, itc jobs in banashankari bengaluru karnataka

Group Technical Architect

Large Language Model Architect

Principal Engineer - Test

Senior Platform Engineer

Sr Advanced Enterprise Architect

Corporate Business Analyst - Intelligence

Senior Manager, Data Science

Sr. Recruiter, GTM – Field Engineering (Contract)

Portfolio Leader (Builder People Lead)

Senior Signal Processing Engineer

Azure Native Architect - M365/SharePoint

Dynamics 365 Finance and Supply Chain Training Consultant

Forward Deployed Engineer

Senior AI Engineer

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