Jobs at Accellor

Build, train, evaluate, and optimize AI and machine learning models using Python and modern deep learning frameworks. Develop reproducible training and inference pipelines, debug model and GPU issues, profile workloads, and improve performance using CUDA, mixed precision, and kernel optimizations. The role also involves implementing research ideas, evaluating model quality and safety, and collaborating across research, platform, and engineering teams.

Design, develop, maintain, and customize Guidewire ClaimCenter solutions. Reverse engineer legacy codebases, integrate ClaimCenter with external systems through SOAP and REST APIs, and ensure scalability, performance, and reliability. Troubleshoot complex technical issues, contribute to upgrades and migrations, and collaborate with business analysts, architects, and developers. The role requires strong Guidewire, Java, Spring Boot, Gosu, data model, and integration expertise, with DevOps, cloud, and front-end experience preferred.

Drive execution of an omnichannel roadmap across engineering, product, supply chain, and retail operations. Manage multiple complex projects from concept through launch, align technical designs, resolve dependencies across web, mobile, backend, and logistics teams, report program health to executives, and facilitate Agile planning and governance.

The Salesforce QA Engineer is responsible for manual and automated testing of Salesforce applications, ensuring quality through various testing strategies and collaboration with the team.

Own the definition and delivery of enterprise AI products for global clients. Translate business problems into product requirements, shape agentic workflows and AI experiences, lead discovery and prioritization, collaborate with engineering and design, prototype concepts, manage client expectations, and support adoption and account expansion. The role requires strong product judgment, AI fluency, consulting maturity, hands-on experimentation, and experience delivering software products in client-facing environments.

Leads the design, automation, and operation of secure, scalable cloud-native infrastructure. Builds infrastructure-as-code platforms and CI/CD pipelines, manages AWS, Azure, or GCP services, optimizes costs, and implements observability, governance, vulnerability scanning, and security controls. Collaborates with development and architecture teams on reliable cloud solutions and supports data and AI-driven analytics environments.

Leads Accellor’s AI and Data Center of Excellence, setting strategy, scaling AI and engineering teams, and delivering generative AI, agentic AI, data, and machine learning solutions from proof of concept through production. Builds AI products and reusable platforms, guides enterprise client engagements and C-suite relationships, supports sales and business growth, ensures delivery quality and ROI, and drives talent development and external thought leadership.

Build and deploy production-grade AI applications using Python and Azure. Develop LLM, RAG, and agentic workflows; integrate enterprise platforms, APIs, databases, and Microsoft 365; and create scalable backend services. Partner with stakeholders to translate ambiguous business needs into production solutions while applying strong testing, security, observability, scalability, and performance practices.

Lead discovery and delivery for a next-generation web platform by translating ambiguous business concepts into wireframes, mockups, process flows, user stories, acceptance criteria, and technical specifications. Facilitate stakeholder workshops, conduct market and system research, manage technical backlogs, define role-based access and content governance models, and coordinate with architects, designers, project managers, and vendors.

Design and build full-stack applications using React/Next.js, Python/Node.js/Java with micro-frontend SPA architecture. Integrate frontends with backends (GraphQL, tRPC, BFF), work with cloud, API gateway, CI/CD (Jenkins), and Kubernetes. Translate business needs into technical solutions, prioritize roadmap, and mentor junior developers.

The SDET will build automation scripts, conduct various tests, document outcomes, collaborate with teams, and help ensure software quality.

Design, develop, test, and maintain enterprise COBOL applications on IBM mainframe platforms. Build and enhance batch and online transaction processing systems, troubleshoot production issues, optimize performance, and support modernization and integration efforts. Collaborate with architects, stakeholders, and engineering teams, participate in code reviews, and produce technical documentation to support mission-critical financial services applications.

Serve as executive owner of strategic enterprise accounts, driving revenue, margin, and delivery excellence. Build CxO relationships, lead complex deals, manage P&L, oversee delivery, and execute multi-year account growth strategies for AI, data, cloud, and engineering services.

Responsible for developing automation scripts, validating software quality through various testing types, and collaborating with teams to ensure quality in the software development lifecycle.

The role involves designing, building, and innovating a software product within a collaborative team, requiring a strong engineering background to scale the platform and deliver capabilities for customers.

Develop and integrate AI-driven features for web applications, utilizing machine learning and NLP technologies while collaborating with cross-functional teams.

Lead design and development of enterprise software solutions using Java and Cursor AI. Provide technical leadership, mentor engineers, define architecture and roadmaps, implement cloud-native, microservices, CI/CD and infrastructure-as-code practices, and collaborate across product and engineering teams to deliver performant, secure systems.

The role involves developing customized Salesforce solutions, creating timelines, testing applications, and maintaining software integrity. Candidates must have extensive Salesforce experience and expertise in related technologies.

The SDET will ensure software quality through automated testing, regression scripts, and collaboration with product teams, participating in the SDLC.

As a Senior Software Engineer, you'll design and innovate products, collaborating with teams to scale and enhance applications using various technologies.