Forward Deployed Engineer - AI

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Forward Deployed Engineer - AI

Kyndryl

Mumbai

3-6 years

1 day ago

$25.3K–39.8K/yr

Full-time

Onsite

Skills Required LLM

RAG

Gen AI

Agentic AI

Hugging Face

Python

TensorFlow

PyTorch

LangGraph

Semantic Kernel

Agent Framework

AutoGen

CrewAI

Git

GitHub

Description Kyndryl is hiring a Forward Deployed Engineer to solve complex enterprise AI challenges in direct partnership with customers. The role blends engineering, consulting, and product collaboration to deliver production-ready AI solutions with measurable business impact.

Company: Kyndryl

Role: Forward Deployed Engineer

Experience

• 3-6 years of relevant IT experience
• At least 1 year in Agentic AI Frameworks, orchestration, and deployment
• At least 2 years on GenAI solutions
• Strong programming expertise in Python
• Experience with AI/ML frameworks, cloud, and consulting
• Experience designing, building, or integrating multi-agent systems and orchestration frameworks
• Practical knowledge of deploying RAG architectures and integrating knowledge sources
• Solid grasp of software delivery lifecycle, Git, GitHub, Pandas, and Spark
• Experience with cloud AI platforms and distributed computing architectures
• Knowledge of system-level optimisation and security best practices
• Ability to translate business requirements into technical solutions
• Willingness to travel and work on customer premises as required

Qualification

• Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline
• Equivalent professional experience

Responsibilities

• Partner with customers to understand business challenges and translate them into fit-for-purpose technical solutions
• Build and iterate custom AI solutions using agentic AI frameworks
• Own delivery end to end from scoping to production
• Work as part of the customer team to engineer and deploy production-ready solutions
• Troubleshoot and improve performance, scalability, and reliability
• Capture deployment learnings and document best practices
• Share insights to inform enhancements to AI platforms and frameworks
• Adapt quickly to emerging technologies and changing customer requirements
• Contribute feedback and code to AI platforms in collaboration with product teams
• Communicate technical value to diverse stakeholders, including executive audiences

Additional Responsibilities

• Operate within the triad delivery model combining engineering, consulting, and product expertise
• Work in dynamic environments and often on-site with customer teams
• Focus on outcomes and business value, not just code
• Support adoption and measurable business outcomes
• Engage in ongoing professional development
• Follow a hybrid role model designed for real-world AI deployment

Nice To Have

• Experience with TensorFlow or PyTorch
• Familiarity with Hugging Face and community-driven AI repositories
• Experience in observability and evaluation platforms such as Langsmith

Other:

• Kyndryl runs and reimagines mission-critical technology systems for leading businesses
• Flexible, supportive, and hybrid-friendly environment
• Employee well-being is prioritized
• Be Well programs support financial, mental, physical, and social health
• Access to coaching, hands-on experiences, and cutting-edge learning opportunities
• Certifications available with Microsoft, Google, and Amazon
• Career progression is clearly defined from Junior to Principal levels
• Triad delivery model emphasizes continuous learning and innovation
• Inclusive culture focused on belonging, empathy, and shared success
• The role offers pace, autonomy, and tangible impact
• Full visibility of the delivery lifecycle
• Opportunity to lead engagements and shape strategic direction
• Employee referral mention in the application process

More Skills Pandas, Spark, AWS, Azure, Google AI, distributed computing, system optimisation, security best practices, observability, evaluation platforms, Langsmith

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