https://JOBS.THEINTERSECTGROUP.COM/ en-us Senior Platform Engineer — Cloud & Kubernetes
Contract: 6?month full?time (with strong potential to extend or convert)
Schedule: Standard Arizona business hours

We’re looking for a Senior Platform Engineer to join a mission?driven organization that builds and operates large?scale cloud platforms supporting learners and educators nationwide. This is a hands?on role where you’ll work with modern cloud?native technologies and play a key part in keeping critical systems reliable, secure, and scalable.

This position starts as a full?time, six?month contract, with the opportunity to extend long?term or convert to a permanent role based on performance and business needs.

What You’ll Work On

You’ll support and evolve a production?grade AWS EKS environment, partnering closely with application and platform teams. This role sits at the intersection of infrastructure and application delivery, making it ideal for an engineer who enjoys owning systems end?to?end and solving complex problems in distributed environments.

What You’ll Do

Support and maintain Kubernetes (EKS)?based platform environments
Manage, scale, and optimize Kubernetes workloads in production
Work with service mesh technologies (Istio preferred) for traffic management, security, and observability
Build and maintain Infrastructure as Code using Terraform
Support and improve CI/CD pipelines and deployment workflows
Collaborate with engineering teams to ensure reliable releases and scalable services
Troubleshoot production issues across both infrastructure and application layers

What We’re Looking For

3+ years of hands?on experience with AWS EKS
Strong production experience with Kubernetes
Experience with Istio or similar service mesh tools
Solid Infrastructure as Code skills (Terraform preferred)
Background in DevOps practices, automation, and CI/CD
Comfort working independently and taking ownership of complex systems
A full?stack mindset, with the ability to move between infrastructure and application concerns as needed

Why This Role

Work on real?world, high?impact systems used at national scale
Join a mission?focused organization with long?term technology investment
High ownership and autonomy in a modern cloud environment
Clear opportunity to extend or convert beyond the initial contract

If you're a senior engineer who enjoys hands?on platform work and wants to make a meaningful impact while working with modern cloud technologies, this role offers both challenge and opportunity.
]]> Tue, 21 Apr 2026 00:00:00 EDT 1 Public Sector | Enterprise?Scale AI Platform
Overview
A large municipal organization serving one of the nation’s largest metropolitan populations is seeking a senior?level Copilot Studio and Azure AI professional to analyze, stabilize, and modernize an existing, enterprise?scale conversational AI platform.

This role focuses on improving and extending a mature Copilot Studio implementation, not building a net?new solution. The current platform supports a public?facing virtual assistant with hundreds of topics and is a critical digital service for residents, businesses, and internal teams.

You will play a key role in advancing how artificial intelligence supports digital services across public websites, internal portals, and collaboration platforms, helping a major city take its AI capabilities to the next level.

---

What You’ll Do
As a senior technical resource, you will evaluate and enhance an existing Copilot Studio agent containing approximately 600 topics, ensuring it is scalable, accurate, maintainable, and aligned with modern Azure AI best practices.
Copilot Studio Analysis & Optimization

• Review a large?scale Copilot Studio agent to identify:
  • Redundant or overlapping topics
  • Routing inefficiencies and performance issues
  • Gaps where generative or RAG?based approaches would improve quality
• Refactor and streamline topic structure to improve maintainability and user experience
• Convert static, rule?based topics to grounded generative experiences where appropriate

Azure AI / Foundry Enhancements

• Modernize the solution by introducing Azure AI and Azure AI Foundry capabilities, potentially including:
  • Cognitive Search with vector embeddings
  • Custom retrieval?augmented generation (RAG) endpoints
  • Function and tool calling to support deeper reasoning
  • Improved document and website grounding for higher accuracy and control
• Replace legacy website ingestion methods with newer Azure AI approaches

Advanced Capabilities

• Implement new AI features such as:
  • Summarization
  • Advanced query understanding
  • Context persistence across long conversations
  • Multi?step reasoning and orchestration
• Improve answer quality for complex, multi?turn user interactions

Architecture, Handoff & Enablement

• Design a scalable Copilot architecture that internal teams can maintain after handoff
• Act as a technical lead, guiding architectural decisions and best practices
• Document enhancements, patterns, and configurations
• Produce troubleshooting guides and operational playbooks

---

Required Skills & Experience

• Deep, hands?on experience with Microsoft Copilot Studio
• Strong working knowledge of Azure AI and Azure AI Foundry
• Proven ability to troubleshoot, refactor, and optimize existing AI solutions
• Experience designing and operating production?grade AI systems

---

Ideal Background

• Two to three or more years building or integrating LLM?based solutions on Azure
• Production experience with Copilot Studio or Azure AI Foundry, ideally at enterprise scale
• Hands?on RAG experience using Azure Cognitive Search, including:
  • Index design
  • Chunking strategies
  • Data enrichment pipelines
• Strong prompt engineering, testing frameworks, and evaluation methodologies
• Ability to serve as a technical lead, mentoring internal teams and setting best practices
• Excellent communication and documentation skills

---

Why This Role Matters
This role directly supports a high?visibility digital service used by the public, impacting how residents and city staff access information and services. You will help shape the future of AI?powered engagement across a major city’s web, intranet, and collaboration platforms while balancing innovation with reliability, governance, and long?term sustainability.

If you enjoy modernizing complex systems, working at meaningful scale, and applying AI in a way that directly benefits a community, this role offers a unique and rewarding opportunity.
]]> Mon, 20 Apr 2026 00:00:00 EDT 1 Data Engineer — Marketing Analytics & Conversational AI
Analytics Enablement | Mission?Driven Higher?Education Organization
About the Role
We are seeking a Data Engineer specializing in marketing analytics and conversational AI to support a large, nationally scaled higher?education organization focused on expanding access and learner success. This role sits at the intersection of cloud data engineering, advanced analytics, and agentic AI, helping transform how business teams access and interact with data.
You will design and deliver secure, scalable, and resilient data and AI systems on AWS. A key focus is developing knowledge bases and conversational, agent?driven solutions that enable business users to explore and act on data using natural language. The role emphasizes reliability, governance, and efficiency while enabling data democratization at enterprise scale.
This position offers the opportunity to apply modern AI and data engineering practices in a purpose?driven environment where analytics directly influence learner engagement, marketing effectiveness, and organizational outcomes.
Key Responsibilities

• Design, build, and optimize data pipelines and analytics platforms on AWS
• Apply security, privacy, and compliance best practices across data and AI workloads
• Develop and maintain knowledge bases and conversational agents that integrate structured and unstructured data sources
• Design and deploy agentic AI workflows that perform multi?step reasoning, orchestration, and autonomous task execution
• Implement and support machine learning workflows in Amazon SageMaker, including training, deployment, and monitoring
• Use AWS Bedrock to build, deploy, and operate conversational and agent?based AI solutions
• Ensure data lineage, observability, and data quality across analytics and AI systems
• Automate orchestration, monitoring, and logging for data pipelines and conversational agents
• Build and maintain CI/CD pipelines for secure and repeatable cloud deployments
• Collaborate with analytics, marketing, product, and business stakeholders to deliver solutions that improve insight accessibility and decision?making

Required Education

• Master’s degree in computer science, artificial intelligence, software engineering, or a closely related technical or AI research field
• A bachelor’s degree combined with exceptional hands?on experience in data engineering and agentic AI may be considered on a case?by?case basis

Required Skills and Qualifications

• At least five years of hands?on experience with AWS services such as S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock, ECS, and API Gateway
• Strong proficiency in Python for data engineering, automation, and API integration
• Hands?on experience designing and implementing agentic AI systems, including multi?agent orchestration, tool use, memory management, and autonomous task execution
• Experience with agent frameworks such as AWS Bedrock Agents, LangChain, or similar orchestration frameworks
• Strong SQL skills and experience working in large?scale data environments
• Solid understanding of ETL and ELT design, orchestration, and optimization in cloud platforms

Preferred Qualifications

• Experience integrating large language models into business workflows
• Familiarity with lakehouse technologies such as Iceberg or Delta
• Experience with DevOps and infrastructure?as?code tools such as Terraform or CloudFormation
• Exposure to front?end technologies including HTML, CSS, or React for user?facing analytics or AI applications
• Experience with retrieval?augmented generation, embeddings, and vector databases
• Familiarity with emerging agentic AI patterns including ReAct, plan?and?execute, and self?correcting agent loops
• Background in marketing analytics, customer intelligence, or growth analytics

]]> Thu, 16 Apr 2026 00:00:00 EDT 1
We are seeking a Business Analyst with a strong technical or developer background to bridge business intent and technical execution within an AI driven platform environment. This role plays a critical part in ensuring AI generated configurations, workflows, and logic are accurate, scalable, and ready for production use.

In this position, you will translate business requirements into technically precise AI prompts, guide AI agents through complex platform scenarios, and validate generated outputs through a developer level lens. You will act as a technical advisor within an AI first delivery model, helping reduce rework and raise overall solution quality.

Key Responsibilities
• Translate business requirements and user stories into clear, technically precise AI prompts
• Guide AI agents through complex platform areas including custom logic, advanced workflows, and data dependencies
• Anticipate edge cases, constraints, and implementation risks using developer level reasoning
• Partner with functional Business Analysts to provide technical depth beyond standard configuration
• Review and validate AI generated workflows, rules, and logic for performance, structure, and correctness
• Refine prompts to improve determinism, reliability, and long term maintainability
• Contribute advanced patterns and best practices to a centralized Business Platform Prompt Playbook

Key Requirements
• 3 or more years of experience as a Business Analyst, technical consultant, or hybrid BA developer
• Hands on experience with custom logic, advanced workflows, or enterprise platform development
• Strong understanding of how enterprise platforms execute rules, workflows, and automation
• Ability to clearly describe technical behavior and logic through detailed written prompts
• Comfort working with structured outputs such as logic definitions, metadata, and JSON like formats
• Proven experience collaborating with both business stakeholders and technical teams
• Strong analytical thinking, communication skills, and adaptability in fast evolving environments
]]> Wed, 15 Apr 2026 00:00:00 EDT 1 Role Summary
We are seeking an accomplished IT Integration Developer to design and implement cloud-first integration solutions that power automation, AI-enhanced insights, and seamless data movement across complex enterprise environments. This role ensures that critical systems communicate reliably and securely across multi-cloud and on-premises platforms.

You will architect and build APIs, event-driven services, and middleware components that adhere to enterprise governance standards. In partnership with architects, product teams, and business stakeholders, you will enable digital modernization initiatives ranging from API delivery to platform migrations and AI-enabled workflow optimization. Your work will directly enhance system performance, observability, and the overall integration architecture.

---

Key Responsibilities

• Design, develop, and implement cloud-native integrations and APIs that meet enterprise standards for performance, security, and scalability.
• Collaborate with IT and business stakeholders to translate requirements into well-structured integration designs and technical specifications.
• Build and optimize synchronous, asynchronous, and event-driven integrations using technologies such as Apache Kafka.
• Monitor integration performance, troubleshoot issues, manage incidents, and support upgrades and middleware enhancements.
• Execute modernization initiatives, including API enablement, cloud migration of middleware, and AI/ML integration for intelligent automation.
• Implement and maintain observability capabilities—logs, metrics, and tracing—across hybrid and multi-cloud environments.
• Partner with enterprise architects, application teams, and product owners to ensure alignment between business needs, AI-driven insights, and technical architecture.
• Evaluate and recommend integration technologies, including APIs, messaging platforms, ESB/iPaaS solutions, and cloud integration tools.
• Contribute to integration standards, reusable components, and best practices for security, governance, and quality.
• Stay current with emerging cloud integration, generative AI, and automation technologies to support continuous improvement.

---

Key Requirements

• 8+ years of hands-on experience in API design, API management, and enterprise system integration.
• Strong expertise in microservices, SOA, event-driven patterns, and cloud-based integration architectures.
• Deep experience with integration platforms/tools such as IBM Integration Bus, MuleSoft, Boomi, Kong, WebSphere MQ/ESB, Apache Kafka, AWS API Gateway, or Azure API Management.
• Proficiency in Java, JavaScript, and Node.js, with familiarity in Spring, Hibernate, JEE, and JMS.
• Strong understanding of data formats (JSON, XML, CSV, YAML, EDI) and enterprise databases (DB2, Oracle).
• Hands-on experience implementing observability (logs, metrics, tracing), API governance, and security practices.
• Demonstrated success working in Agile/SCRUM environments with strong problem-solving and analytical skills.
• Flexibility to work across multiple integration tools and rapidly master existing implementations to support migration efforts.
• Preferred: Experience in financial services, cloud modernization/integration initiatives, AI/ML technologies, workflow optimization, cost efficiency strategies, or IT risk management.

---

Additional Details

• No sponsorship or visa transfer available.
• Requires flexibility to work holidays, weekends, and varied hours as needed.
• Domestic and international travel may be required.

]]> Wed, 11 Feb 2026 00:00:00 EST 1