Contract Postion -Solution Architect

Experience: 13 - 30 years

Max Experience: 30

Solution Architect

Detailed JD

Position Overview

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

Key Responsibilities

Strategic Partnership AI Solution Delivery

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 datadriven use cases that deliver measurable business value across customer experience operations risk and decision intelligence

Translate complex business challenges into clear feasible AIenabled and traditional technology solutions by leading endtoend solution and AI architecture efforts

Design solution architectures that incorporate AIML Generative AI automation analytics and cloud platforms where appropriate while ensuring scalability security performance and compliance with enterprise architecture standards

Drive endtoend solution delivery by coordinating crossfunctional teamsincluding product engineering data AI design and operationsfrom ideation through deployment and postproduction 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

AI Architecture Use Case Enablement

Act as a handson 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 outcomedriven 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 decisionmaking

Technical Talent Engagement Collaboration

Identify and engage the right technical expertsincluding AI architects data scientists engineers and platform specialistsat 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

Influencing Leadership

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

Skills

Mandatory Skills : Agent development & frameworks