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Infosys
Infosys

Offers information technology, business consulting, and outsourcing services.

Technology Lead - Generative AI

직무머신러닝
경력리드급
위치Sofia, Bulgaria
근무오피스 출근
고용정규직
게시2주 전
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Job Description

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Your role

In the role of Technology Lead, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required

  • Total Experience Required: 8-10 Years
  • Hands-on experience in software, platform, or cloud engineering
  • Hands-on experience with AI/ML or Generative AI solutions
  • Strong experience with AWS Bedrock, Sage Maker, and LLM-based application development
  • Proficiency in Lang Chain and Lang Graph for building complex AI agents, workflows, and multi-step reasoning systems
  • Experience with Databricks for building and deploying Generative AI solutions, including Model Serving, AI Gateway, and Unity Catalog
  • Proven experience implementing RAG architectures and vector search solutions using Databricks Vector Search, Lang Chain retrievers, Amazon Open Search Service, Pinecone, or FAISS
  • Experience with vector databases and embeddings management in production environments
  • Experience delivering end-to-end AI applications, including backend services, APIs, and basic user interfaces for AI-driven solutions
  • Solid background in AWS cloud services (Lambda, ECS/EKS, API Gateway, S3, ECR, Event Bridge)
  • Hands-on experience with Databricks Lakehouse platform, Delta Lake, and data governance using Unity Catalog
  • Hands-on experience with AWS AI services: Textract, Comprehend, Kendra, or Bedrock Knowledge Bases
  • Experience with Databricks Notebooks, Jobs, and Workflows for AI/ML pipeline orchestration
  • Strong programming experience in Python (required) with Py Spark experience for large-scale data processing
  • Deep expertise in prompt engineering, Lang Chain prompt templates, few-shot learning, and LLM performance tuning

Preferred

  • Strong experience using Lang Graph for agentic workflows, state management, and intelligent orchestration of AI systems
  • Familiarity with AI observability, including model monitoring, logging, and usage analytics using Lang Smith, Amazon CloudWatch, MLflow, or Databricks Monitoring
  • Experience designing scalable, resilient, and secure enterprise systems
  • Excellent communication skills with the ability to translate business needs into technical solutions
  • Experience implementing authentication and authorization using AWS IAM, Cognito, Databricks Unity Catalog permissions, and RBAC
  • Infrastructure as Code experience using Terraform or AWS CloudFormation for provisioning Databricks workspaces and AWS resources
  • CI/CD experience using GitHub Actions, AWS Code Pipeline, or GitLab CI/CD with Databricks Asset Bundles
  • Understanding of data privacy, PII handling, and responsible AI practices
  • Experience working in regulated or large enterprise environments
  • Prior experience acting as a technical lead
  • Familiarity with Lang Chain ecosystem tools: Lang Serve, Lang Smith, and community integrations

Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:

  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills

About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

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Infosys 소개

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

직원 수

Bengaluru

본사 위치

$72B

기업 가치

리뷰

10개 리뷰

3.9

10개 리뷰

워라밸

3.8

보상

2.7

문화

4.1

커리어

2.8

경영진

3.4

72%

지인 추천률

장점

Flexible work arrangements and schedules

Good learning and development opportunities

Collaborative and supportive team environment

단점

Heavy workload and long hours

Low salary and uncompetitive pay

Limited career advancement opportunities

연봉 정보

220,463개 데이터

Senior/L5

Senior/L5 · Data Scientist

0개 리포트

$933,861

총 연봉

기본급

$933,861

주식

-

보너스

-

$793,782

$1,073,940

면접 후기

후기 5개

난이도

2.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Interview

5

Final Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience