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AI Solutions Architect

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Remote • Posted 4 days ago
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Job Title: AI Solutions Architect – Healthcare

Location: Remote

Experience: 10+ years

About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.

Job Description:

About the Role

We are seeking a true AI Solutions Architect (not Tech Lead, Tech Architect, Java Architect, or Enterprise Architect) to define end-to-end solutions for an AI-driven contact center within a healthcare environment. This role focuses heavily on Agentic AI within the Salesforce ecosystem—experience with AgentForce is a must.

You will work across multiple large-scale programs, leveraging cutting-edge AI, cloud technologies, and integration patterns to deliver world-class solutions that enhance customer experience and streamline operations.

Key Responsibilities

  • Collaborate with Product Owners, BAs, and technical leads to refine requirements.
  • Define scalable, secure, and high-performance architectures integrating GCP , Salesforce , and Agentic AI .
  • Integrate systems with Kafka for messaging/streaming.
  • Design REST APIs that enhance developer experience and simplify integrations.
  • Partner with integration architects to deliver solution artifacts (sketches, diagrams, presentations).
  • Present and review solutions with stakeholders across business, product, and engineering.
  • Ensure alignment with enterprise architecture patterns and AI-first strategy.

Required Skills & Experience

  • Healthcare industry experience (mandatory).
  • Proven experience as a Solutions Architect with a focus on GenAI/Agentic AI (RAG, vector DB, embeddings, AI agent frameworks).
  • Hands-on experience with Salesforce AgentForce and Salesforce Service Cloud .
  • Integration experience with Kafka and REST APIs.
  • Knowledge of RDBMS and NoSQL databases (MongoDB, etc.), with understanding of normalization, denormalization, sharding.
  • Excellent collaboration, communication, and stakeholder management skills.

Desired Skills

  • Familiarity with emerging AI agent interoperability standards (Model Context Protocol, Agent2Agent).
  • Contact center technology knowledge (Salesforce, Five9, etc.).
  • Experience with distributed caching, CI/CD, and DevOps practices.

Primary Technologies

  • AI: Agentic AI, RAG, Vector DB, Embeddings
  • CRM/Contact Center: Salesforce Service Cloud, AgentForce
  • Messaging: Kafka

Warm Regards,

D:

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Contract

Job function

  • Job function

    Information Technology

  • Industries

    IT Services and IT Consulting

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