Solution Architect - Artificial Intelligence

Tata Consultancy Services; Santa Clara (CA); On-site; USD 100,000 - 160,000; Full time

Job summary

Tata Consultancy Services Limited in Santa Clara, CA is seeking a hands-on Solution Architect for AI/GenAI who will lead end-to-end technical delivery from discovery to production deployment.

You will design scalable AI-enabled services, APIs, and data flows, mentor engineers, and directly engage with customer stakeholders to translate problems into pragmatic technical solutions.

Qualifications

• Bachelor's or master's degree in computer science or related field.
• Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
• Experience developing backend services, APIs, and distributed applications.
• Experience processing and transforming structured and/or unstructured data.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
• Experience in Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Hands-on exposure to production monitoring, logging and observability.

Responsibilities

• Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
• Translate customer requirements and business problems into scalable technical solutions.
• Own the end-to-end technical implementation from discovery and prototyping through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
• Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
• Define application architecture, APIs, data flows, integration patterns and deployment approaches.
• Guide engineers across software, AI, data, cloud and platform technologies.
• Review code and ensure engineering quality, security, scalability and maintainability.
• Diagnose complex application, data, integration, infrastructure and production issues.
• Drive solutions from prototype to production-ready implementation.
• Mentor junior and graduate FDEs and provide technical support and guidance.
• Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.

Skills

Python

Java/JavaScript

C++

Backend services

Distributed systems

Debugging

Education

Bachelor's or Master's in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Git

Kubernetes

CI/CD

Job description

Role: Solution Architect - Artificial Intelligence

Location Options: Santa Clara, CA / Atlanta, GA / Cincinnati, OH / Edison, NJ

Job Description

Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform technologies. The Technical Lead works directly with customer stakeholders, architects and engineering teams to understand business problems, define the technical approach, rapidly develop prototypes, and lead solutions through engineering integration and production deployment. Unlike a traditional development lead, the FDE Technical Lead is expected to operate effectively in ambiguous environments, make pragmatic technical decisions, write and review code, troubleshoot complex issues, and take end-to-end ownership of customer outcomes.

Key Responsibilities

• Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
• Translate customer requirements and business problems into scalable technical solutions.
• Own the end-to-end technical implementation from discovery and prototyping through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
• Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
• Define application architecture, APIs, data flows, integration patterns and deployment approaches.
• Guide engineers across software, AI, data, cloud and platform technologies.
• Review code and ensure engineering quality, security, scalability and maintainability.
• Diagnose complex application, data, integration, infrastructure and production issues.
• Drive solutions from prototype to production-ready implementation.
• Mentor junior and graduate FDEs and provide technical support and guidance.
• Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.

Qualifications

• Bachelor's or master's degree in computer science or related field.
• Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
• Experience developing backend services, APIs, and distributed applications.
• Experience processing and transforming structured and /or unstructured data.
• Hands-on experience with at least one major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
• Experience in Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Hands-on exposure to:
• Understanding of production monitoring, logging and observability.

Hands-on exposure to:

• Large Language Models and Generative AI application development.
• LLM APIs and model integration.
• Prompt engineering and structured outputs.
• RAG architectures.
• Embeddings and vector search/vector databases.
• Understanding of AI application performance, security and cost considerations.
• Integration of AI capabilities into enterprise applications.

Good to Have

• Experience delivering solutions in customer-facing environments.
• Experience leading small Agile engineering teams.
• Hands-on experience with enterprise GenAI implementations.
• Experience with vector databases such as pgvector, Pinecone, Weaviate, Milivus or similar technologies.
• Experience with frameworks for building AI applications and agents.
• Cloud and/or AI certifications.

Salary Range: $100,000 - $160,000 a year

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Location

Santa Clara, CA

Function

TECHNOLOGY

Role

Solution Architect

ID

431233

Skills

Artificial intelligence

Salary Range

$100,000 - $160,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE