Solutions Architect

5 days ago

Edison, New Jersey, United States XCUTIVES INC. Full time $120,000 - $250,000 per year

๐‘ฑ๐’๐’ƒ ๐‘ซ๐’†๐’”๐’„๐’“๐’Š๐’‘๐’•๐’Š๐’๐’:

We are seeking a
hands-on Agentic AI Solution Architect
to lead the design, development, and integration of next-generation AI systems built on
multi-agent frameworks
.

This role will architect solutions that go beyond traditional chatbotsโ€”designing
autonomous AI agents
that make decisions, learn continuously, and drive measurable business outcomes.

The ideal candidate will combine
deep technical expertise in AI/ML
with strong experience across
cloud, APIs, data engineering, and enterprise integration
.

๐‘ฒ๐’†๐’š ๐‘น๐’†๐’”๐’‘๐’๐’๐’”๐’Š๐’ƒ๐’Š๐’๐’Š๐’•๐’Š๐’†๐’”:

  • Design end-to-end
    Agentic AI architectures
    with LLM and multi-agent orchestration.
  • Build intelligent systems leveraging
    Microsoft AI Foundry, Copilot, LangChain
    , and similar frameworks.
  • Integrate AI platforms into enterprise ecosystems via
    APIs (ServiceNow, SAP, REST, Mulesoft)
    .
  • Implement
    prompt engineering, RAG
    , and adaptive reasoning pipelines.
  • Work closely with business stakeholders to map AI strategy to tangible outcomes.
  • Drive technical leadership through
    hands-on delivery, prototyping, and system optimization
    .
  • Ensure AI design principles emphasize
    ethical, secure, and scalable systems
    .
  • Collaborate across functions to deploy production-ready Agentic AI solutions for enterprise clients.

๐‘บ๐’Œ๐’Š๐’๐’๐’” ๐‘น๐’†๐’’๐’–๐’Š๐’“๐’†๐’…:

  • Expertise in
    Agentic AI frameworks
    ,
    Generative AI
    , and
    LLMs
    (OpenAI, Hugging Face, Azure AI).
  • Hands-on experience in
    building AI agents
    and implementing orchestration logic.
  • Solid understanding of
    cloud platforms
    (Azure preferred; AWS/GCP a plus).
  • Strong skills in
    Python, .NET, NodeJS, and SQL
    .
  • Proven experience with
    DevOps/MLOps tools
    โ€“ Azure DevOps, Terraform, CI/CD, and containerized deployments.
  • Knowledge of
    data platforms
    โ€“ Databricks, Snowflake, Azure Data Services.
  • Experience integrating
    ServiceNow APIs, SAP connectors, and Mulesoft
    .
  • Excellent communication, problem-solving, and solution design capabilities.

๐‘ธ๐’–๐’‚๐’๐’Š๐’‡๐’Š๐’„๐’‚๐’•๐’Š๐’๐’๐’”:

  • 8+ years
    in enterprise software development, AI/ML, or architecture.
  • Hands-on experience in at least
    1โ€“2 production-level Generative AI or Agentic AI implementations
    .
  • Proven track record in
    AI system integration, testing, and deployment
    .
  • Bachelor's or Master's degree
    in Computer Science, Artificial Intelligence, or a related field.
  • Strong technical communication and client-facing experience.
  • Willingness to travel for client engagements within the U.S.

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