Senior Agentic Enterprise Solutions Engineer

Gohyred; New Delhi; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

ICF in New Delhi, India, seeks an experienced Senior Agentic Enterprise Solutions Engineer to design, code, and support AI-enabled enterprise apps. You’ll partner with business stakeholders to translate complex problems into secure, scalable solutions, starting with TAS and expanding across the enterprise.

The role emphasizes strong software engineering fundamentals, enterprise architecture awareness, and the ability to connect business needs with technical implementations.

Qualifications

• 1+ year with agentic coding tools and AI-assisted development methodologies.
• 6+ years of software engineering or related experience; full-stack background.
• Bachelor's degree in CS/IS/Engineering or related field.
• 4+ years building enterprise solutions with business stakeholders.
• 3+ years TypeScript/Node.js, Python, APIs, and modern architectures.
• 3+ years building cloud-native solutions on Azure and/or AWS.

Responsibilities

• Use agentic coding to rapidly design, build, test and evolve enterprise solutions.
• Translate ambiguous business challenges into scalable, production-ready apps and automation.
• Establish engineering patterns for AI-enabled development and delivery.
• Design, build, enhance and support enterprise applications and solutions.
• Drive solution architecture, implementation and ongoing improvements.
• Collaborate with stakeholders to align solutions with business needs and governance.

Skills

Agentic coding

Full-stack development

TypeScript/Node.js

Python

APIs

Azure/AWS

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

Claude Code

GitHub Copilot

Azure DevOps

Job description

Job Summary

The Senior Agentic Enterprise Solutions Engineer is a hands\-on builder responsible for designing, coding, supporting, and evolving AI\-enabled enterprise applications and business solutions. This role works directly with business stakeholders to interpret ambiguous business problems, identify practical solution patterns, and rapidly translate those ideas into secure, scalable, production\-ready applications. Initially focused on the Token Allocation System (TAS), this role will help establish a repeatable model for building future AI\-enabled business solutions across the enterprise. The ideal candidate combines strong software engineering fundamentals, agentic coding proficiency, enterprise architecture awareness, and the ability to connect business process needs with working technical solutions.

Key Responsibilities

Agentic Solution Engineering

• Use agentic coding and AI\-assisted development practices to rapidly design, build, test, and evolve enterprise business solutions.
• Translate ambiguous business challenges into scalable, production\-ready applications and automation solutions.
• Establish practical engineering patterns for AI\-enabled application development, delivery, and support.

Enterprise Solutions Development

• Design, build, enhance, and support enterprise business applications and enterprise solutions.
• Drive technical solution architecture, implementation, and continuous enhancement of assigned solutions.
• Ensure solutions meet security, audit, compliance, and governance requirements.
• Evaluate emerging technologies and recommend practical business applications.

Business Partnership

• Partner directly with stakeholders to understand business objectives, identify root causes, and define solution approaches.
• Communicate technical tradeoffs, recommendations, and delivery plans to technical and non\-technical audiences.
• Ensure solutions align with business needs while remaining scalable, secure, and maintainable.

Platform, Data & Integration Collaboration

• Collaborate with Cloud Engineering, Integration, and Data teams to align solutions with enterprise standards and best practices.
• Design solutions that leverage enterprise platforms, data assets, and integration capabilities effectively.

Qualifications

• 1\+ year with agentic coding tools and AI\-assisted development methodologies (Claude Code or equivalent).
• 6\+ years of software engineering, application development, or solutions engineering experience. Full\-stack software development experience.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• 4\+ years experience back\-office building enterprise solutions, working directly with business stakeholders and translating requirements into technology solutions using strong written and verbal communication skills.
• 3\+ years experience with TypeScript/Node.js, Python, databases, APIs, and modern application architectures.
• 3\+ years experience building cloud\-native solutions using Azure and/or AWS (landing zones, Key Vault, managed identity).

Preferred Experience

• AI platforms including Copilot Studio, Azure AI Foundry, Microsoft Graph, Claude Code, GitHub Copilot, or similar technologies.
• Enterprise application development involving workflow automation, business process modernization, or internal business systems.
• Microsoft Fabric, Purview, and data governance.
• Deltek Costpoint, Workday, Boomi, ERP integrations or financial systems.
• Experience defining engineering standards, reusable solution patterns, and AI\-enabled development practices.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting\-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in\-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

New Delhi, India (II77)