AI Architect

Tata Consultancy Services; Wilmington (MA); On-site; USD 110,000 - 140,000; Full time

Job summary

A leading IT services firm is seeking a Mid-Senior level professional to lead the development and deployment of generative AI solutions on Azure and AWS. The ideal candidate will have over 6 years of experience in AI/ML and a proven track record in managing AI teams. Responsibilities include developing AI strategies, optimizing large language models, and overseeing a diverse team of AI developers. The role offers a competitive salary between $110,000 and $140,000, along with a collaborative work environment.

Qualifications

• 6+ years of experience in AI/ML development with a focus on generative AI technologies on Azure and AWS.
• Proven leadership experience managing AI teams and delivering complex AI projects.
• Strong expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Deep understanding of generative AI techniques including LLMs, GANs, VAEs, diffusion models, and AI agents.
• Experience with Azure, AWS and AI model deployment at scale.

Responsibilities

• Lead development and deployment lifecycle of generative AI solutions on Azure and AWS.
• Develop and define the AI strategy and roadmap emphasizing generative AI capabilities.
• Supervise design, fine-tuning, and optimization of large language models.
• Manage and mentor a diverse team of AI developers and engineers.
• Work closely with cross-functional teams to translate requirements into AI solutions.
• Uphold best practices in AI ethics, data privacy, and model governance.
• Lead research and innovation efforts in generative AI and AI agents.
• Implement containerization and orchestration strategies with Docker and Kubernetes.
• Establish security frameworks for restricted access to AI systems.
• Monitor AI model performance and drive continuous improvement initiatives.

Skills

Python

Machine learning frameworks

Generative AI technologies

Project management

Communication skills

AI agents

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Hugging Face Transformers

Azure

AWS

Job description

Roles & Responsibilities

• Lead the complete development and deployment lifecycle of generative AI solutions on Azure and AWS, ensuring they align with business objectives and technical requirements.
• Develop and define the AI strategy and roadmap, emphasizing generative AI capabilities and their seamless integration into products and services.
• Supervise the design, fine‑tuning, and optimization of large language models (LLMs) and other generative AI models across various applications.
• Manage and mentor a diverse team of AI developers and engineers, promoting a culture of collaboration and innovation.
• Work closely with cross‑functional teams—engineering and business stakeholders—to translate requirements into effective AI solutions.
• Uphold best practices in AI ethics, data privacy, and model governance throughout the AI development lifecycle.
• Lead research and innovation efforts by keeping current with the latest developments in generative AI, multimodal models, and AI agents.
• Implement containerization and orchestration strategies using Docker and Kubernetes for reliable deployment.
• Establish security frameworks using Azure/AWS Identity and other tools to ensure restricted and compliant access to AI systems.
• Monitor AI model performance in production, drive continuous improvement initiatives, and manage risks associated with AI outputs.
• Effectively communicate AI concepts, project progress, and business impact to both technical and non‑technical audiences, including executive leadership.
• Demonstrate knowledge of Cloud Storage, Cloud SQL, real‑time messaging and event‑driven architectures like pub/sub.
• Familiarity with Cloud Functions, Cloud Run, and App Engine, and how to deploy and manage serverless applications.
• Familiarity with Azure, AWS Cloud's Operations Suite, including monitoring, logging, tracing, debugging, and error reporting to ensure system reliability and performance.

Must Have Technical/Functional Skills

• 6+ years of experience in AI/ML development, with significant focus on generative AI technologies on Azure and AWS.
• Proven leadership experience managing AI teams and delivering complex AI projects.
• Strong expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Deep understanding of generative AI techniques including large language models, GANs, VAEs, diffusion models, and AI agents.
• Experience with Azure, AWS and AI model deployment at scale.
• Excellent problem‑solving, project management, and communication skills.
• Ability to drive innovation and influence strategic decisions.
• Experience with AI agents.
• Familiarity with multimodal AI models (text, image, audio).

Salary Range: $110,000-$140,000 a year

Seniority level: Mid-Senior level

Employment type: Full‑time

Job function: Design, Art/Creative, and Information Technology

Industries: IT Services and IT Consulting