Technology Business Partner with AI Solution Architecture Expertise
JOB DESCRIPTION
We are looking for a highly skilled Technology Business Partner who combines strong technical acumen with deep solution architecture expertise to act as the critical glue between business and technology teams. This role ensures that the right technical talent is engaged at the right time and that technology solutions are designed, developed and delivered to effectively meet evolving business needs across the full product lifecycle.
Position Overview
The Technology Business Partner will serve as a trusted advisor and liaison between business stakeholders and technology teams, fostering alignment on strategic objectives, AI adoption and technical execution. This role requires expertise in AI/ML, Generative AI, automation, analytics and cloud platforms to drive end-to-end solution delivery.
Key Responsibilities
- Serve as a trusted advisor and liaison between business stakeholders and technology teams fostering alignment on strategic objectives, AI adoption and technical execution
- Identify, evaluate and prioritize AI and data-driven use cases that deliver measurable business value across customer experience, operations, risk and decision intelligence
- Translate complex business challenges into clear, feasible AI-enabled and traditional technology solutions by leading end-to-end solution and AI architecture efforts
- Design solution architectures that incorporate AI/ML, Generative AI, automation, analytics and cloud platforms while ensuring scalability, security, performance and compliance with enterprise architecture standards
- Drive end-to-end solution delivery by coordinating cross-functional teams including product, engineering, data, AI, design and operations from ideation through deployment and post-production support
- Work closely with BCS Local, Regional and Enterprise Technology teams to ensure consistent architectural standards, responsible AI practices and reuse of shared platforms and capabilities
- Act as a hands-on AI Architect capable of shaping solution approaches that leverage AI technologies such as machine learning, GenAI, NLP, decision engines and automation platforms
- Assess business processes and workflows to determine where AI adds value versus traditional approaches ensuring pragmatic and outcome-driven solutions
- Define AI solution patterns, reference architectures and implementation approaches aligned with enterprise and regulatory guidelines
- Partner with data, AI and platform teams to ensure availability of required data models, tooling and governance mechanisms
- Support business stakeholders in understanding AI capabilities, limitations, risks and ethical considerations to enable informed decision-making
- Identify and engage the right technical experts including AI architects, data scientists, engineers and platform specialists at the appropriate stages of solution design and delivery
- Enable strong collaboration between business, AI, engineering and operations teams across large matrixed organizations
- Influence and guide technical teams to adopt best practices in AI engineering, MLOps, cloud architecture, security and performance optimization
- Help business teams understand technology and AI tradeoffs, costs, constraints and risks while maintaining focus on value realization
- Leverage deep technical and AI credibility to influence technology leaders and business executives on AI strategy, investment priorities and roadmap decisions
- Champion responsible AI adoption, innovation and continuous improvement across programs and initiatives
- Provide thought leadership on emerging AI trends and their potential impact on business strategy and operating models
REQUIREMENTS
- 13+ years of experience in technology and solution architecture
- Strong expertise in AI/ML, Generative AI, NLP, and automation platforms
- Hands-on experience with solution architecture, cloud platforms, and enterprise architecture standards
- Proven ability to design and deliver AI-enabled solutions from ideation to production
- Experience with MLOps, data science, and platform engineering
- Strong understanding of responsible AI practices, governance and regulatory compliance
- Excellent stakeholder management and influencing skills across business and technology teams
- Agent development & frameworks expertise (mandatory)
- Ability to translate business requirements into technical solutions
- Experience working in large matrixed organizations
Project Details
Duration: 12 Months
Location: PAN INDIA
Client Interview: Yes