Forward Deployed Engineer - AI

Top Gen AI Jobs

Mumbai

On-site

INR 2,416,000 - 3,801,000

Full time

6 days ago
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Benefits offered by this job

Hybrid-friendly environment
Employee well-being prioritized
Coaching and learning opportunities
Certifications with major providers

Job summary

Kyndryl in Mumbai seeks Forward Deployed Engineer - AI to join our client-focused AI delivery team. You will design, build, and deploy production-ready AI solutions on-site, collaborating with customer teams to map business needs into scalable architectures.

The role emphasizes agentic AI frameworks, GenAI deployments, Python development, and cloud platforms, with a strong focus on performance, security, and value delivery.

Qualifications

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

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 with customer teams 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

Skills

Agentic AI frameworks
GenAI solutions
Python
AI/ML frameworks
Cloud platforms
Distributed computing
Git/GitHub
Pandas
Spark
Multi-agent systems
RAG architectures
translating business needs

Education

CS/Engineering degree
Equivalent professional experience

Tools

Git
GitHub
AWS
Azure
Google Cloud

Job description

Job Description:

Job Title

Forward Deployed Engineer - AI

Company

Kyndryl

Location

Mumbai

Salary

$25.3K–39.8K/yr

Contract

Full-time

Work Arrangement

Onsite

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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