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Forward Deployment Consultant (AI / Agentic AI | Agile Delivery)
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Job Info
- Job Identification14386
- Posting Date06/29/2026, 02:09 PM
- Job RoleAI Engineer-Machine Learning
- Experience (In Years)0-3
Job Description
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.
Responsibilities
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.
Qualifications
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
Required Skills
- APM Tools (Application Performance Management)
- Advanced Excel
- CRM Systems
- Conflict Management
- Displaying Visionary Thinking
- Emerging Technologies
- Emotional Intelligence Training
- Facilitating Client Engagement
- Financial Tools
- Microsoft Power BI Software
- Prosci ADKAR
- Risk Assessment Tools
- Stakeholder Engagement
- Strategic Growth
- Strategic Planning Models
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