Design and build Python services for long-running workflows, build integrations with Workday, SAP and ServiceNow, design PostgreSQL data models and run services on Azure, own code quality, mentor engineers and help the team ship in small, frequent releases.
Responsibilities
Design and build Python services for long-running workflows
Build integrations with Workday, SAP and ServiceNow
Design PostgreSQL data models and run services on Azure
Own code quality: review pull requests, set coding and testing standards
Mentor engineers and help the team ship in small, frequent releases
We are building a senior engineering team for a large enterprise program in healthcare operations and workforce decisioning. The role involves designing, building, securing, and operating production infrastructure supporting the platform within Azure.
Responsibilities
Design, build, and maintain production Azure infrastructure, including subscriptions, landing zones, private networking, managed identities, Azure Key Vault, and Azure Monitor.
Develop and maintain infrastructure as code using Terraform or Bicep, creating reusable modules and automated provisioning processes.
Establish the initial build and development environments, followed by secure, production-ready infrastructure within the client's Azure tenant.
Design and implement isolated customer deployments, ensuring strict separation of subscriptions, networking, encryption keys, and data stores.
Build repeatable infrastructure deployment processes that allow new customer environments to be provisioned consistently and efficiently.
Seeking a principal software engineer to join the Boston development team to enhance existing applications and develop software solutions for CIO, client operations, investment research, and corporate functions.
Compensation
A reasonable estimate of the base salary range for this role in Massachusetts is $160,000 - $185,000.
Responsibilities
Responsible for ensuring all information security processes, policies and procedures are adhered to
Raise issues or concerns with the Cyber Security team
Ensure full compliance with all local data protection regulations and privacy controls
Develop software solutions working closely with the CIO, client operations, investment research, and corporate functions business verticals
Work on strategic and BAU initiatives
Requirements
Degree in Computer Science or similar technical subject
The AI Solutions Architect decides the technical shape of AJ Gallagher's AI solutions before they are built, and makes sure that shape holds up once they are live. This role involves turning business problems into architectures (RAG, agent, workflow), choosing platforms like Microsoft Foundry or Copilot Studio, and designing identity, data, and integration patterns for a regulated global insurance business.
Responsibilities
Shape Solutions From Business Problems: Lead technical discovery with business stakeholders and the AI Business Analyst, turning ambiguous requests into solution options with clear trade-offs, feasibility, effort, and run-cost estimates.
Own Reference Architectures: Define and maintain Gallagher's reference architectures for RAG, single and multi-agent systems, and Copilot extensibility on Microsoft Foundry, Azure OpenAI, Azure AI Search, Cosmos DB, and Azure compute.
Make, Record, and Explain Architecture Decisions: Make platform and pattern calls (model selection, retrieval design, agent setup, datastore choice, messaging, hosting) and record them as ADRs.
Design Governance and Data Residency: Build Gallagher's compliance requirements into the architecture itself - Entra ID/RBAC and managed identity, Azure Policy, private networking, Standard (Regional) or DataZone Standard model deployments.
Prove Ideas With Working Prototypes: Build proofs of concept and technical spikes in Python and C#/.NET that test a design's riskiest assumptions.
Requirements
Bachelor's degree in Computer Science or equivalent field
Data Scientist II
Conduent State Healthcare, LLC · Posted Nov 4, 2026
AI Solutions Engineer responsible for designing, developing, deploying, and supporting enterprise Analytics, AI, and Generative AI solutions leveraging Azure AI services and modern cloud-native technologies.
Responsibilities
Develop, test, and deploy Analytics, AI, and Generative AI solutions using Azure AI services and modern application development frameworks.
Build GenAI applications leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, & related Azure services.
Develop Retrieval-Augmented Generation (RAG) solutions, AI assistants, AI agents, knowledge retrieval systems, and intelligent business applications.
Implement prompt engineering, prompt orchestration, and grounding.
Develop AI agents, agent workflows, & multi-step reasoning processes to automate tasks and user interactions.
Requirements
BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.
Conduent is seeking an AI Solutions Engineer with strong software engineering, cloud development, and Generative AI expertise to design, develop, and deploy enterprise Analytics, AI, and GenAI solutions.
Responsibilities
Develop, test, and deploy Analytics, AI, and Generative AI solutions using Azure AI services and modern application development frameworks.
Build GenAI applications leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, & related Azure services.
Develop Retrieval-Augmented Generation (RAG) solutions, AI assistants, AI agents, knowledge retrieval systems, and intelligent business applications.
Implement prompt engineering, prompt orchestration, and grounding
Develop AI agents, agent workflows, & multi-step reasoning processes to automate tasks and user interactions.
Requirements
BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline