Support deployment of AI-enabled solutions into production environments (cloud/on-prem).
Assist in implementing agentic workflows (multi-step, goal-driven AI systems) that interact with tools, APIs, and enterprise systems.
Integrate AI applications with data sources, business workflows, and operational systems.
Validate outputs for accuracy, reliability, and business alignment before and after deployment.
Work within Agile/Scrum teams, contributing to sprint planning, daily stand-ups, and retrospectives.
Translate user stories into technical tasks and support iterative development cycles.
Collaborate closely with product managers, designers, and engineers to deliver increments of value.
Participate in rapid prototyping and fail-fast experimentation cycles for AI use cases.
Test AI workflows (including agent behavior) under real-world scenarios.
Identify edge cases, failure modes, and integration issues; support fixes and improvements.
Assist in setting up basic monitoring (logs, alerts, performance metrics).
Create and maintain deployment runbooks, integration documentation, and troubleshooting guides.
Ensure solutions adhere to data security, compliance, and audit requirements.

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field
Strong fundamentals in one programming language (Python / Java / JavaScript)
Understanding of APIs, debugging, and system integration
Basic knowledge of data handling (SQL, JSON, CSV)
Strong problem-solving and communication skills
Exposure to AI / Generative AI concepts (prompting, retrieval-based workflows, automation)
Familiarity with Agile frameworks (Scrum/Kanban)
Internship or project experience in:
Cloud platforms (Azure/AWS/GCP)
APIs and integrations
Data pipelines or automation workflows
Awareness of software engineering best practices (version control, testing)

Forward Deployment Engineer – AI, Agentic AI, Agile Delivery

Key skills