GCP Cloud Platform with GenAI & Metadata Engineer & Integration Solution Architect (3 Openings)

Title: GCP Cloud Platform Engineer with GenAI
Location: Denver, CO

Job description:

• Designs and deploys autonomous multi-agent workflows on Google Cloud Platform, utilizing core services like Vertex AI, Cloud Run, and Terraform.
• Bachelor's degree in related field
• Core Stack: Advanced Python development, RAG pipelines, vector databases, and Model Context Protocol (MCP), Google ADK, Claude code/Devin
• GCP Experience: 5+ years hands-on cloud architecture, networking (VPC, load balancing), and security/firewall configurations.

Location: Charlotte, NC (Day1 Onsite)

Job Type: Contract

Role Overview:

• The AI & Metadata Engineer will design and build AI-enabled metadata extraction capabilities to automate lineage discovery and evidence generation.
• This role will focus on leveraging AI/LLM technologies to analyze enterprise assets and generate structured metadata and lineage insights.

Key Responsibilities:

• Develop AI-assisted metadata extraction solutions.
• Develop lineage extraction and inference services.
• Implement metadata normalization and enrichment frameworks.
• Build confidence scoring and validation mechanisms.
• Evaluate AI model performance and extraction quality.
• Collaborate with data architects and lineage engineers.

Required Skills:

• Python
• Generative AI / LLMs
• Prompt Engineering
• NLP & Information Extraction
• GCP AI Services

Preferred Qualifications

• Experience with GenAI / LLMs based solutions implementation.

Integration Solution Architect

Location: Portsmouth, NH (Day1 Onsite)

Job Type: Contract

Job description:

• We are seeking an experienced Integration Solution Architect with strong expertise in designing, building, and implementing enterprise integration solutions within the insurance domain.
• Needs a strong foundation in AWS and APIs.
• Experience with DataPower and Majesco platforms (Policy, Billing, Claims, or Digital1st) is preferred.
• The ideal candidate will be responsible for leading integration strategy, defining architecture patterns, and ensuring seamless interoperability across core systems, cloud platforms, and third-party applications.

Key Responsibilities:

• Integration Architecture & Design
• Define end to end integration architecture, including data flows, integration patterns, APIs, microservices, and event-driven models.
• Develop high-level and detailed solution design documents, sequence diagrams, integration specifications, and mapping documents.
• Lead integration architecture for AWS implementations.
• Establish and enforce standards for API design, message formats (JSON/XML), security, logging, and exception handling.
• DataPower Platform Expertise (Preferred)
• Majesco Platform Expertise (Preferred)
• Design and configure integrations in an AWS ecosystem.
• Work with product teams and implementation partners, both internal and external, to align on best practices.

Technical Leadership:

• Guide development teams on integration best practices, API implementation, and middleware usage.
• Perform design reviews, code reviews, and ensure adherence to architectural standards.
• Collaborate with enterprise architects, solution architects, product owners, and business stakeholders.

Project Delivery:

• Translate business requirements into technical integration solutions.
• Work closely with cross-functional teams to ensure high quality, scalable, and secure integrations.
• Troubleshoot integration issues and provide leadership in resolving complex technical problems.

Required Skills & Qualifications:

• 8+ years of experience in integration architecture, solution architecture, or technical architecture.
• Strong hands-on experience with integration platforms such as:
• DataPower
• MuleSoft
• Azure Integration Services (Logic Apps, API Management, Service Bus)
• Informatica / SnapLogic (nice to have)
• Solid understanding of RESTful APIs, SOAP services, message queues, event streaming (Kafka), ETL pipelines, and integration patterns.
• Insurance domain experience-P&C preferred.
• Strong knowledge of Policy / Billing / Claims architectures, data models, APIs, and integration patterns.
• Proficiency with cloud platforms (Azure/AWS/GCP).
• Experience with CI/CD pipelines, Git, DevOps tools, and container-based deployments.