Senior Gen AI/Agentic AI Full Stack Lead

Infosys

2.7

(23)

Alpharetta, GA

Why you should apply for a job to Infosys:

  • 4.2/5 in supportive management
  • 57% say women are treated fairly and equally to men
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our STEM education and maker movement programs enable you to support a more equitable digital society
  • At Infosys, our D&I charter draws inspiration from our values and is contained in the first tenet of our Code of Conduct and Ethics.
  • At Infosys, we nurture that spirit with technology that can inspire you to not just ask ‘what next’, but actually help you to build it.
  • #131174BR

    Position summary

    ivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.

    • At least 5 years of Information Technology experience
    • At least 2 years of hands-on Gen AI / Agentic AI and data science with machine learning
    • Strong knowledge of Python
    • Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.
    • Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
    • Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.
    • Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
    • Experience with data gathering, data quality, system architecture, coding best practices
    • Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
    • Experience with Lean / Agile development methodologies
    • This position may require travel, will involve close co-ordination with offshore teams

    Preferred Data Scientist Qualifications:

    • 5 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL
    • Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.
    • Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
    • Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
    • Strong understanding of LLM fine-tuning, local deployment of open source models
    • Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
    • Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
    • Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
    • Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala
    • Data visualization tools such as Tableau, Query languages such as SQL, Hive
    • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

    The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face.

    Estimated annual compensation range for candidates in the below locations will be-
    Sunnyvale, CA: $73000 to $122275

    Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:-
    Medical/Dental/Vision/Life Insurance
    Long-term/Short-term Disability
    Health and Dependent Care Reimbursement Accounts
    Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
    401(k) plan and contributions dependent on salary level
    Paid holidays plus Paid Time Off.

    Why you should apply for a job to Infosys:

  • 4.2/5 in supportive management
  • 57% say women are treated fairly and equally to men
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our STEM education and maker movement programs enable you to support a more equitable digital society
  • At Infosys, our D&I charter draws inspiration from our values and is contained in the first tenet of our Code of Conduct and Ethics.
  • At Infosys, we nurture that spirit with technology that can inspire you to not just ask ‘what next’, but actually help you to build it.