About this role
Role Summary
We are hiring Forward Deployment Consultant to bridge the gap between AI innovation and real-world implementation. In this role, you will work at the intersection of engineering, product, and agile delivery, helping deploy AI-powered and agentic systems into enterprise workflows.
You will support the transition of AI solutions (including agent-based systems) from prototype to production—integrating with data, systems, and operational processes—while continuously adapting solutions based on real-world feedback.
Key Responsibilities 1. AI / Agentic AI Deployment & Integration
• 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. 2. Agile Engineering & Delivery
• 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. 3. Testing, Monitoring & Continuous Improvement
• 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). • Contribute to improving repeatability through templates, accelerators, and automation scripts. 4. Responsible AI & Governance
• Support implementation of guardrails and control mechanisms for AI/agentic systems (e.g., validation checks, human-in-the-loop workflows). • Ensure solutions adhere to data security, compliance, and audit requirements. • Participate in evaluation processes to monitor output quality, reliability, and ethical considerations. 5. Documentation & Knowledge Transfer
• Create and maintain deployment runbooks, integration documentation, and troubleshooting guides. • Document agent behavior, workflows, and decision logic to ensure transparency and audit-readiness. • Support handover of stabilized deployments to support or operations teams.
Required Qualifications
• 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 Preferred Qualifications
• 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) Key Skills & Competencies
• Problem-solving under ambiguity • Agile execution & adaptability • Curiosity and learning agility (especially in AI/automation) • Cross-functional collaboration • Customer-centric thinking