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AI Architect

Job

Tata Consultancy Services Limited

Bloomfield, CT (In Person)

$150,000 Salary, Full-Time

Posted 7 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Must Have Technical/Functional Skills AI & Solution Architecture
  • Define and own end to end AI architecture for enterprise solutions, from data ingestion to AI driven decisioning and insights.
  • Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons.
  • Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.
  • Ensure scalability, performance, reliability, and security of AI systems in production. GenAI & Agentic AI
  • Architect Generative AI solutions, including: o Large Language Models (LLMs) o Retrieval Augmented Generation (RAG) o Multi agent and agent orchestration patterns
  • Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms.
  • Guide responsible selection and usage of cloud based and open source LLMs. Data, ML & MLOps
  • Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs.
  • Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management.
  • Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement. Governance, Security & Responsible AI
  • Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements.
  • Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human in the loop controls.
  • Define governance frameworks for model usage, access control, and operational oversight. Technical Leadership & Collaboration
  • Act as technical thought leader for AI initiatives across delivery teams.
  • Collaborate with product owners, UX designers, data engineers, cloud engineers, and DevOps teams.
  • Provide architecture guidance, reviews, and mentorship to senior engineers.
  • Communicate complex AI concepts clearly to technical and non technical stakeholders. Required Technical Skills AI / GenAI
  • Strong experience with Generative AI and Agentic AI architectures
  • Hands on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks
  • Proficiency in Python for AI/ML development ML & Data Engineering
  • Experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit learn
  • Knowledge of data engineering, feature engineering, an d analytics pipelines
  • Familiarity with vector databases, graph databases, and search engines Cloud & Platform
  • Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of cloud native, microservices, and API driven architectures
  • Exposure to observability, monitoring, and logging for AI systems Security & Compliance
  • Knowledge of data privacy, security best practices, and enterprise compliance standards
  • Experience designing secure and governed AI solutions Experience & Qualifications
  • 12-16 years of overall IT experience
  • 8+ years of experience in AI/ML solution or enterprise architecture
  • Proven experience delivering production grade AI platforms at scale
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field Behavioral & Professional Skills
  • Strong analytical and problem solving skills
  • Excellent communication and stakeholder management abilities
  • Ability to balance strategic vision with hands on architectural depth
  • Experience working in agile and fast paced delivery environments
  • Mentoring mindset with the ability to uplift technical teams Salary Range $120 000-$150,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support:
Maternal & Parental Leaves.
Insurance Options:
Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth:
Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off:
Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

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