Job Title:

AI Enterprise Solutions Architect

Job Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture" year after year.
We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.
Join us and be part of this journey towards greater opportunities and brighter futures.

Are you passionate about shaping the future of technology and driving enterprise-level AI innovations? As an Enterprise Architect - AI, you will play a critical role in defining and executing the architectural vision for AI-enabled applications and platforms. Your expertise will guide technical decision-making and help to establish a cohesive and consistent approach to AI integration within the enterprise.

Responsibilities:

Define enterprise architecture patterns and standards for AI- and LLM-enabled applications, platforms, and workflows.
Lead technical design and architecture decisions for AI integration across products, engineering platforms, and automation capabilities.
Establish practical guardrails for security, data use, trust boundaries, governance, observability, reliability, and operational support.
Guide architecture choices for retrieval-augmented generation, orchestration, tool use, workflow automation, structured outputs, evaluation, and fallback strategies.
Partner with engineering, platform, security, infrastructure, and data teams to drive consistent enterprise approaches.
Influence technical prioritization and decision-making for AI-related initiatives across multiple teams and stakeholders.
Reduce fragmented one-off implementations by defining reusable standards, reference patterns, and implementation guidance.
Assess emerging AI technologies and recommend where they fit within the enterprise architecture based on value, risk, and business fit.
Scale adoption by helping teams move from experimentation to production-ready implementation.
Mentor architects and senior engineers in AI-native design, systems thinking, and sound technical judgment.
Complete all assigned, mandatory training within the timeframe provided.
Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
10+ years of experience in software engineering, architecture, platform engineering, or related technical fields.
5+ years in a senior architecture, principal engineering, or enterprise technical leadership role.
Experience designing and guiding complex systems across applications, APIs, cloud platforms, integrations, and operational environments.
Experience working with AI/LLM technologies as part of enterprise solution design, platform design, or engineering architecture.
Strong software engineering foundation with hands-on development experience building or integrating distributed applications, APIs, services, or platforms using languages such as Java, C#, Python, Go, or similar.
Experience prototyping or validating AI/LLM-enabled solution patterns through code, automation, or reference implementations.
Excellent written and verbal English communication skills, with the ability to communicate complex technical concepts clearly ac

AI Enterprise Solutions Architect at name