4 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead client discovery and AI readiness assessments to identify application modernization and agentic AI opportunities.
- Translate business needs into technical architectures, implementation roadmaps, workshops, design sessions, and architecture reviews.
- Design cloud-native and AI-native architectures using microservices, APIs, containers, and cloud-native patterns.
- Build agentic proofs of concept, pilots, MVPs, and reference implementations.
- Define technical solutions, scope, assumptions, dependencies, estimates, risks, timelines, and team composition.
- Prepare SOWs, RFP responses, technical proposals, and commercial inputs.
- Lead technical due diligence and provide technical leadership through pursuit and implementation.
- Advise senior executives and technical stakeholders while partnering with sales, consulting, legal, delivery, engineering, and specialist teams.
Requirements
- Bachelor’s degree in computer science, engineering, or a comparable discipline, or equivalent practical experience.
- At least 8 years of hands-on experience in solution architecture, software engineering, or technical consulting focused on application architecture and modernization.
- At least two years of hands-on experience delivering production-grade agentic AI applications.
- Advanced expertise with agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
- Deep Python proficiency; TypeScript and Node.js experience is a plus.
- Experience integrating AI agents with enterprise systems including CRMs, ERPs, APIs, and data lakes.
- Experience with vector databases, embedding pipelines, and practical RAG architectures.
- Strong client-facing advisory, pre-sales, live-demo, and technical storytelling skills.
- Working knowledge of responsible AI, data privacy requirements, and enterprise security standards.
- Preferred qualifications include engineering consulting or professional services experience, large-scale modernization experience, consultative solutioning and delivery experience, relevant industry experience, and familiarity with AI governance and risk-management frameworks.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Access to learning opportunities, certifications with Microsoft, Google, and Amazon, coaching, mentorship, and hands-on experiences.
- Exposure to global projects, strategic initiatives, cutting-edge technologies, and career development tools.
- Personalized development goals, continuous feedback, and opportunities to deepen expertise or move into leadership.
Tech Stack
Categories
Solutions Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.