AI - FDE Engineer

Tata Consultancy Services; Houston (TX); On-site; USD 180,000 - 210,000; Full time

Benefits offered by this job

Medical coverage

Parental Leaves

Certification & Training

401K Plan

Performance Bonus

Job summary

Tata Consultancy Services is seeking an experienced AI Solutions Architect in Houston to design and implement AI-enabled cloud-native architectures for Enterprise scale. The role emphasizes AI governance, data platforms, and seamlessly integrating AI services with business processes.

Applicants should demonstrate strong Python/Java skills, cloud fundamentals, and hands-on experience with AI PoCs, MVPs, and prototyping within the Oil & Gas domain. Houston-based opportunity with competitive salary.

Qualifications

• Experience with Microsoft AI Ecosystem (Azure OpenAI, Copilot Studio, Power Platform, etc.).
• Cloud architecture expertise with Azure/AWS/GCP and microservices.
• Ability to shape AI Use Cases, PoCs, MVPs and enterprise AI architectures.
• Strong Data & Analytics knowledge: data warehousing, data lakes, governance, real-time analytics.
• Knowledge of AI governance and security.
• Industry experience in Oil & Gas and understanding of SAP/Finance/SCM processes.
• SQL fundamentals and database concepts.
• REST APIs and microservices.
• Data Structures and Algorithms.
• Git and source control tooling.
• Cloud fundamentals (Azure, AWS or GCP).
• Familiarity with Generative AI concepts.
• Prompt Engineering fundamentals.
• RAG architectures.
• Problem solving and debugging skills.
• Understand customer business and technical requirements.
• Design, develop and test software components and integrations.
• Develop and consume APIs.
• Work with structured and unstructured data using SQL and Python.
• Build PoCs and prototypes.
• Support deployment using cloud and CI/CD.
• Troubleshoot integration issues.
• Collaborate with architects, technical leads and customers.
• Learn and adopt emerging AI/cloud tech.
• Participate in workshops and solution delivery activities.

Responsibilities

• Strong Python programming skills.
• Good understanding of Java/JavaScript/C++.
• SQL and database fundamentals.
• REST APIs and microservices.
• Data Structures and Algorithms.
• Git and source control tools.
• Cloud fundamentals (Azure, AWS or GCP).
• Familiarity with Generative AI concepts.
• Prompt Engineering fundamentals.
• RAG architectures.
• Problem solving and debugging skills.
• Understand customer business and technical requirements.
• Design, develop and test software components and integrations.
• Develop and consume APIs.
• Work with structured and unstructured data using SQL and Python.
• Build PoCs and prototypes.
• Support application deployment using cloud and CI/CD technologies.
• Troubleshoot application and integration issues.
• Collaborate with architects, technical leads and customer teams.
• Learn and adopt emerging technologies in AI, cloud and engineering.
• Participate in customer workshops, demonstrations and solution delivery activities.

Skills

Python

Java/JS/C++

SQL

REST APIs

Data Structures

Git

Cloud fundamentals

Gen AI concepts

Prompt Engineering

RAG architectures

Problem Solving

API Design

PoCs & Prototypes

CI/CD

Team Collaboration

Customer Requirements

Learning Mindset

Education

Bachelor of Computer Science

Tools

Azure OpenAI

Azure AI Studio

Azure AI Search

Microsoft Fabric

Job description

Must Have Technical/Functional Skills

• Must have experience with Microsoft AI Ecosystem : Azure OpenAI, Azure AI Studio, Azure AI Search, Microsoft Fabric, Copilot Studio, Microsoft 365 Copilot, Power Platform, Power Automate, Microsoft Data Stack, Purview, Entra ID.
• Well versed with Cloud Architecture. Must have good understanding on Cloud-native AI architectures, AI deployment patterns, Enterprise integrations, API enablement, Microservice on Azure or AWS Architecture.
• Capable to solution AI Architecture, should independently be able to shape AI Use Cases, PoCs, MVPs, Business Cases, Enterprise AI Architectures, Value Realization Models
• Good understanding on Data and Analytics : Data Warehousing, Data Lake, Data Governance, Data engineering, Real time Analytics on tools like Fabric, Synapse, Data Bricks or Snowflake.
• Good understanding of AI Governance and Security
• Preferably from Oil and Gas industry with understanding on Business Processes like Supply Chain, Finance, HR, Manufacturing Field operations.
• SQL and database fundamentals
• REST APIs and microservices
• Data Structures and Algorithms
• Git and source control tools
• Cloud fundamentals (Azure, AWS or GCP)
• Familiarity with Generative AI concepts
• Prompt Engineering fundamentals
• Basic understanding of RAG architectures
• Problem solving and debugging skills
• Understand customer business and technical requirements.
• Design, develop and test software components and integrations.
• Develop and consume APIs.
• Work with structured and unstructured data using SQL and Python.
• Build Proof of Concepts and prototypes.
• Support application deployment using cloud and CI/CD technologies.
• Troubleshoot application and integration issues.
• Collaborate with architects, technical leads and customer teams.
• Learn and adopt emerging technologies in AI, cloud and engineering.
• Participate in customer workshops, demonstrations and solution delivery activities.

Roles & Responsibilities

• Strong Python programming skills
• Good understanding of Java / JavaScript / C++
• SQL and database fundamentals
• REST APIs and microservices
• Data Structures and Algorithms
• Git and source control tools
• Cloud fundamentals (Azure, AWS or GCP)
• Familiarity with Generative AI concepts
• Prompt Engineering fundamentals
• Basic understanding of RAG architectures
• Problem solving and debugging skills
• Understand customer business and technical requirements.
• Design, develop and test software components and integrations.
• Develop and consume APIs.
• Work with structured and unstructured data using SQL and Python.
• Build Proof of Concepts and prototypes.
• Support application deployment using cloud and CI/CD technologies.
• Troubleshoot application and integration issues.
• Collaborate with architects, technical leads and customer teams.
• Learn and adopt emerging technologies in AI, cloud and engineering.
• Participate in customer workshops, demonstrations and solution delivery activities.

Generic Managerial Skills, If any

• Strong communication skills
• Analytical thinking
• Continuous learning m indset
• Team collaboration
• Ownership and accountability
• Customer focus
• Ability to work in fast-paced environments.

Salary Range

$180,000-$210,000 a 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 & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications

BACHELOR OF COMPUTER SCIENCE