Jobs at Paralucent

Lead technical direction for agentic AI platforms across AWS/Azure: design architectures, establish standards and governance, ensure secure scalable cloud-native integrations, guide engineering teams, and operationalize AI solutions within a regulated enterprise.

Support the migration of Nintex workflows to SharePoint Online. Manage projects, coordinate stakeholders, and ensure quality through testing and documentation.

Lead the delivery of Generative AI products by managing the product lifecycle, facilitating Agile execution, and ensuring alignment with user needs.

The role involves migrating Nintex solutions to Power Platform, developing SharePoint Online solutions, and managing workflow integrations with Microsoft Graph.

The Senior Salesforce Architect will design and lead enterprise Salesforce solutions, focusing on architecture governance and integration strategies for a banking sector client.

Seeking a GenAI Full Stack Developer to design and build enterprise AI applications using Full Stack technologies while ensuring performance and security. Responsibilities include building APIs, integrating AI systems, and optimizing applications for scalability.

The Salesforce Developer will design and implement solutions using Apex and Lightning Web Components while managing custom Salesforce configurations for the banking sector.

The Account Executive will drive new business growth, manage sales pipeline, conduct discovery conversations, and lead technical sales while maintaining account relationships.

Lead the development of cloud-native enterprise applications using React and AWS, mentor team members, collaborate with stakeholders, and optimize solutions.

Seeking 2-3 RPA Developers for a banking client to design, develop, test, and support automation solutions using UiPath and coding languages.

The Senior Business Analyst will lead business analysis initiatives, mentor analysts, optimize processes, and collaborate with stakeholders for project delivery.

Lead delivery of a large-scale Enterprise Data Platform transformation, manage project plans, risks, dependencies, and cross-functional teams; drive execution, stakeholder alignment, reporting, and adoption of modern data capabilities.

Design, build, and deploy agentic AI workflows, LLM-enabled services, and cloud-native platform components. Integrate AI capabilities with enterprise systems, ensure production readiness, implement guardrails, testing, and monitoring, and collaborate with architects, delivery managers, and stakeholders to deliver secure, scalable AI-enabled automation and workflow solutions.

Lead end-to-end delivery of ServiceNow implementations and integrations in a consulting environment. Manage stakeholders, distributed resources, project planning, tracking, reporting, governance, and conflict resolution while adapting to changing priorities and cultural differences.

Design and implement production GenAI solutions with a focus on RAG and Azure serverless platforms. Build backend APIs, scalable data pipelines for indexing/embedding/retrieval, deploy serverless Azure services, implement CI/CD and IaC, and enforce security, governance, and compliance while collaborating with cross-functional teams.

Lead design and development of backend APIs and logic using LLMs and cloud AI services. Drive architecture for generative AI platforms, automate Azure provisioning, manage production incidents, provide technical leadership, and collaborate with cross-functional teams to deliver scalable, secure AI solutions.

Design and implement production-grade Generative AI solutions focused on RAG using Azure OpenAI and Azure AI Search. Build backend APIs, serverless Azure deployments, scalable data pipelines for indexing/embedding/retrieval, CI/CD, and IaC. Ensure security, governance, and collaborate with cross-functional teams to deliver end-to-end GenAI systems.