The Role

Fusion Risk Management is seeking a cloud-native, AI-first full stack engineer to design and deliver a new generation of AI-enabled professional services tools. These tools will empower our consulting and services teams to work more efficiently, consistently, and at scale — automating the most repetitive, complex, and error-prone parts of their workflows while leaving critical business decisions in human hands.

An early priority will be developing frameworks that analyze and transform Salesforce metadata, with a central challenge being how to organize large metadata sets so AI tools can reliably consume and analyze them. Success will require a clear understanding of today’s AI constraints while also anticipating near-term advances that may reduce those barriers. You’ll design retrieval, chunking, and orchestration pipelines, exploring novel and effective methods for structuring large-scale analyses.

This is a hands-on engineering role for someone who is both practical and visionary: able to ship production-ready applications on Azure while also experimenting with bleeding-edge approaches. If you’re hungry to learn, eager to adopt the latest technologies, and passionate about AI’s potential to transform enterprise software delivery, we’d like you to join us.

Responsibilities

• Design and build cloud-native applications on Microsoft Azure that blend deterministic automation with AI-driven intelligence.
• Deliver a portfolio of AI-enabled tools that streamline professional services delivery, starting with projects focused on Salesforce org analysis and migration support.
• Extend and enhance existing approaches to engaging with Salesforce metadata already in use at Fusion.
• Develop solutions that transform large enterprise metadata sets into structured outputs that AI models can reason about effectively.
• Tackle AI efficiency challenges, including:
• Structuring metadata for effective AI analysis.
• Overcoming context window limits with chunking, retrieval, and orchestration strategies.
• Exploring approaches (including Graph RAG–style concepts) for organizing large-scale data analyses.

• Leverage Cursor, ChatGPT Pro, and Azure OpenAI as both development accelerators and embedded components in delivered applications.
• Build human-in-the-loop workflows, enabling consultants to review, approve, and validate AI outputs.
• Establish robust engineering foundations: logging, manifests, rollback strategies, and audit-friendly outputs.
• Collaborate with Fusion architects and consultants to ensure tools are usable, scalable, and aligned with real-world service delivery needs.
• Continuously evaluate emerging technologies and identify opportunities to expand Fusion’s AI-augmented professional services automation roadmap.

Knowledge, Skills, and Abilities

• Strong cloud-native engineering experience on Microsoft Azure (required).
• Proficiency in at least one modern language (Java, Python, C#, TypeScript, Go). Flexibility in stack is encouraged as long as solutions run effectively on Azure.
• Deep understanding of AI development and integration, including:
• Context window limitations and data-reduction strategies.
• Prompt engineering and multi-step workflow design.
• Retrieval-augmented generation pipelines.
• Human-in-the-loop design for safe, reliable AI systems.
• Experience building schema analysis, comparison, and orchestration frameworks.
• Familiarity with Salesforce metadata and APIs (objects, fields, relationships) sufficient to parse and process org structures.
• Proficiency with Bitbucket for source control and CI/CD pipelines.
• Creative, curious, and ambitious: excited to learn, experiment, and apply bleeding-edge approaches.

Qualifications (Education and Experience)

• Proven experience delivering enterprise-grade SaaS applications on Microsoft Azure.
• Demonstrated ability to build applications that integrate AI into production workflows.
• Practical understanding of AI model constraints and experience designing strategies such as retrieval, chunking, and approaches to enable large-scale data analysis.
• Prior work designing systems that handle large, complex data sets with strong reliability, auditability, and rollback support.
• Familiarity with Salesforce metadata and APIs, sufficient to parse and transform org structures (deep Salesforce development expertise not required).
• Strong communication skills and ability to collaborate with both technical peers and business stakeholders.
• Demonstrated ability to adopt and apply emerging technologies quickly, with a track record of experimentation, innovation, and continuous learning.

Milestones for the First Year

• In one month:
• Develop a foundational understanding of Fusion’s product ecosystem and professional services processes.
• Begin experimenting with strategies for scanning and normalizing Salesforce metadata.
• In three months:
• Gain a solid understanding of Fusion’s products, their architecture, and their history, particularly as reflected in long-term client orgs.
• Deliver early prototypes demonstrating metadata refinement and AI ingestion strategies.
• Be ready to begin focused development on the first major AI-enabled automation project — a suite of applications that will scan a customer’s Fusion (Salesforce) org, compare it against the current state of our product, and migrate it to the latest Fusion packages, while preserving any custom business logic not covered by native Fusion functionality.

• In six months:
• Approach the first value realization milestone for the initial AI-enabled automation project.
• Deliver early production capabilities that combine deterministic analysis with AI reasoning.
• By 12 months:
• Finalize and harden the initial automation tool into a reliable, production-ready system.
• Deliver additional AI-enabled automation tools that measurably improve professional services efficiency.
• Document patterns and best practices for scaling Fusion’s AI-augmented professional services tooling.

This position may be performed remotely anywhere within the United States except for the states of New York, California, and Colorado.

Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.