AI LEAD L1

Wipro Technologies; Irving (TX); On-site; USD 60,000 - 135,000; Full time

Job summary

Wipro Limited in Irving, TX is seeking an experienced Senior Generative AI Developer to design and implement AI solutions using Retrieval-Augmented Generation (RAG). You will build scalable APIs with FastAPI and deploy on cloud platforms, ensuring security and performance.

Requirements include 8+ years in software development, strong Python skills, experience with Generative AI frameworks and distributed architectures, and familiarity with Docker/Kubernetes, CI/CD, and vector databases.

Qualifications

• 8+ years of professional experience in software development and system design.
• Strong proficiency in Python and experience with FastAPI for API development.
• Hands-on experience with Generative AI frameworks and RAG architectures.
• Solid understanding of system and architecture design principles for distributed applications.
• Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
• Familiarity with vector databases, embedding models, and retrieval pipelines.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Responsibilities

• Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
• Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
• Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
• Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
• Conduct performance tuning and optimization of AI models and APIs.
• Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Skills

Generative AI

Python

FastAPI

RAG architectures

AWS

Azure

GCP

Vector databases

Embedding models

Retrieval pipelines

Docker

Kubernetes

CI/CD

DevOps practices

LLM fine-tuning

Prompt engineering

Model evaluation

Tools

Docker

Kubernetes

Job description

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Role Purpose
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business.

Do

• Manage the product/ solution development using the desired AI techniques
  • Lead development and implementation of custom solutions through thoughtful use of modern AI technology
  • Review and evaluate the use cases and decide whether a product can be developed to add business value
  • Create the overall product development strategy and integrating with the larger interfaces
  • Create AI models and framework and implement them to cater to a business problem
  • Draft the desired user Interface and create AI models as per business problem
  • Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
  • Implement the necessary security features as per product’s requirements
  • Review the used case and see the latest AI that can be used in product’s development
  • Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
  • Tracks industry and application trends and relates these to planning current and future AI needs
  • Create and delegate work plans to the programming team for product development
  • Interact with Holmes advisory board for knowledge sharing and best practices
• Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
  • Drive discussions and provide consultation around product design as per customer needs
  • Participate in client interactions and gather insights regarding product development
  • Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
  • Assist in product’s demonstration and receive feedback from the client
  • Design presentations for seminars, meetings and enclave primarily focused over product
• Team Management
  • Resourcing
    • Forecast talent requirements as per the current and future business needs
    • Hire adequate and right resources for the team
  • Talent Management
    • Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
    • Build an internal talent pool and ensure their career progression within the organization
    • Manage team attrition
    • Drive diversity in leadership positions
  • Performance Management
    • Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
    • Ensure that the Performance Nxt is followed for the entire team
  • Employee Satisfaction and Engagement
    • Lead and drive engagement initiatives for the team
    • Track team satisfaction scores and identify initiatives to build engagement within the team
      

Deliver

No. Performance Parameter Measure 1. Continuous technical project management & delivery Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created 2. Client Centricity No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation 3. Capability Building & Team Management % trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)

Job Description:

We are seeking an experienced Senior Generative AI Developer to design and implement cutting‑edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end‑to‑end AI solution development.

Key Responsibilities:

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.

Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.

Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.

Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.

Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).

Conduct performance tuning and optimization of AI models and APIs.

Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications:

8+ years of professional experience in software development and system design.

Strong proficiency in Python and experience with FastAPI for API development.

Hands‑on experience with Generative AI frameworks and RAG architectures.

Solid understanding of system and architecture design principles for distributed applications.

Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).

Familiarity with vector databases, embedding models, and retrieval pipelines.

Strong problem‑solving skills and ability to work in a fast‑paced environment.

Preferred Qualifications:

Experience with LLM fine‑tuning, prompt engineering, and model evaluation.

Knowledge of containerization (Docker) and orchestration (Kubernetes).

Exposure to CI/CD pipelines and DevOps practices.

Mandatory Skills: Generative AI.Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience.

Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.