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Systems Integration Specialist Advisor

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: NTT DATA, Inc.
Full Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below
  • Design, develop, and deploy
    scalable software solutions
    leveraging modern architectures and cloud platforms.
  • Build and implement
    Agentic AI systems
    (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes.
  • Hands-on experience with

    GenAI (LLMs, RAG, embeddings, prompt engineering)
  • Experience with traditional ML(classification, regression, NLP, time-series)
  • Develop and maintain
    data engineering pipelines
    (ETL/ELT) for structured and unstructured data across enterprise systems.
  • Integrate
    AI models (LLMs, NLP, GenAI)into applications using tools such as Azure OpenAI,Lang Chain, Semantic Kernel, or similar frameworks.
  • Architect
    data platforms
    supportingreal-time and batch processing using technologies like Spark, Databricks, or cloud-native services.
  • Collaborate with cross-functional teams to deliver
    client demos, POCs, and production-ready solutions
    .
  • Ensure
    data quality, governance, and security
    across all data workflows.
  • Optimizesystem performance, reliability, and scalability across AI and data components.
Key Skills & Experience
  • Strong experience in
    software development (Python6+ yrs).
  • Hands-on experience with
    Agentic AI / autonomous agents
    , including:
  • Multi-agent orchestration
  • Tool usage & reasoning workflows
  • Prompt engineering and memory management
  • 2+years experience with

    GenAI (LLMs, RAG, embeddings, prompt engineering)
  • Data modeling and warehousing
  • Streaming and batch processing
  • Experience with
    cloud platforms
    (Azure preferred) and services like:
  • Familiarity with
    vector databases, embeddings, and RAG architectures
    .
  • Strong understanding of
    API design, microservices, and distributed systems
    .
Preferred Qualifications
  • Degree:

    Bachelor'sin computer science/IT or equivalent program (4 yrs)
  • Experience with
    GenAI frameworks
    (Lang Chain,Llama Index, Semantic Kernel).
  • Exposure to
    MLOps/LLMOpspractices
    .
  • Experience building
    enterprise-grade AI copilots or automation solutions
    .
  • Knowledge of
    data governance and observability frameworks
    .
What We Expect
  • Ability tooperatein a
    fast-paced, client-facing environment
    .
  • Strong problem-solving and ownership mindset.
  • Capability toanticipateproject needs, especially during
    client demos and critical delivery windows
    .
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