Gen AI Architect

Sr. Manager - Recruitment @ Synechron |IT Recruitment Base pay range

$/yr - $/yr

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a Generative AI Architect to define and implement cutting‑edge AI/ML solutions that power next‑generation business capabilities. This role will focus on designing scalable architectures for both traditional machine learning and advanced Generative AI use cases, ensuring robust, secure, and high‑performing AI systems.

The base salary for this position will vary based on geography and other factors. In accordance with the law, the base salary for this role if filled within Charlotte, NC is $140K to $150K/year & benefits (see below).

• Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.
• Design comprehensive end‑to‑end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
• Lead the integration of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) frameworks, utilizing tools such as Lang Chain, Lang Graph, or similar.
• Collaborate with business stakeholders to translate requirements into scalable AI‑driven technical solutions.
• Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
• Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
• Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
• Partner with Dev Ops teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
• Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, recommending adoption of best practices and innovative solutions.

• Proven experience 6+ years, excel in leading AI/ML architecture and strategy in enterprise environments.
• Strong expertise in designing and deploying large‑scale AI/ML solutions, including LLMs and RAG frameworks.
• Experience with AI/ML tools and frameworks such as Tensor Flow, PyTorch, Hugging Face, Lang Chain, Lang Graph, or similar.
• Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment.
• Familiarity with model governance, security, explainability, and ethical AI standards.
• Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
• Strong problem‑solving, communication, and stakeholder management skills.

• Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields.
• Publications or practical contributions to AI research and open‑source projects.
• Experience working in regulated industries or environments requiring compliance and governance.
• Familiar with project management and Agile practices.

• A highly competitive compensation and benefits package
• A multinational organization with 58 offices in 21 countries…