Lead the technical design authority for enterprise artificial intelligence and agentic solutions at Unilever, defining reference architectures, governance, and best practices across cloud platforms and AI ecosystems.
Responsibilities
Define and govern reference architectures and engineering patterns for AI and agentic solutions
Lead technical design reviews and provide design pass or remediation decisions
Design enterprise patterns for agent orchestration, retrieval, grounding, APIs, tools, skills and integration
Assess AI models for suitability, quality, latency, security, economics and operational fit
Drive token optimisation and cost-per-outcome engineering
Requirements
Nice to have: Robotic process automation
Nice to have: Prompt and context engineering
Nice to have: Artificial intelligence financial operations
Nice to have: Automated testing for AI systems
Nice to have: Continuous integration and delivery patterns for prompts, agents and evaluations
Builds and validates integration adapters, mapping code, SQL transformations and data exchange scripts connecting VA-EISS with enterprise and legacy systems.
Compensation
Salary range: $130,000-$140,000
Responsibilities
Implement REST API clients, integration adapters, validation rules, SQL procedures and data transformation scripts from approved interface specifications.
Review AI-generated APIs, mappings, SQL and scripts for schema alignment, data security, error paths, performance and repeatability.
Develop automated interface tests and synthetic test records; verify expected business identifiers and reconciliation results.
Work with the Integration Engineer, Data Engineer, value-stream Dev Lead and QA Lead on change reviews and integration releases.
Troubleshoot data exchanges, log failures safely, automate retries and document mapping/operational evidence.
Requirements
Bachelor’s Degree in computer science or IT related degree
Lead Software Engineer responsible for designing, building, and operating enterprise finance solutions across cloud ERP platforms, integrations, and data pipelines, applying AI and automation to improve engineering productivity and finance operations.
Responsibilities
Define technical architecture across cloud ERP, integration, and data platforms
Design, build, and operate integrations connecting Workday and other finance applications with Salesforce
Develop solutions using ERP development, MuleSoft/API engineering, or data engineering
Build reliable APIs, event‑driven integrations, data pipelines, and transformations
Lead complex troubleshooting across application, integration, and data layers
Lead enterprise analytics and reporting delivery, modernizing BI solutions and driving data-driven decision making across Capital Blue Cross.
Compensation
Base pay is influenced by several factors including a candidate’s qualifications, relevant experience, and anticipated contributions to meet the needs of the business, along with internal pay equity and external market driven rates. The salary range displayed has not been adjusted for geographical location.
Responsibilities
Lead end-to-end design, development, testing, deployment, maintenance, and support of enterprise reporting, dashboards, scorecards, analytics products, and business intelligence solutions.
Execute approved business, operational, executive, financial, regulatory, and customer-focused reporting priorities in accordance with defined requirements, architecture, governance standards, delivery commitments, and service expectations.
Establish consistent delivery practices for solution design, development, peer review, testing, documentation, release management, change control, production support, and lifecycle management.
Maintain transparent visibility into delivery progress, dependencies, risks, quality, resource needs, and decisions required to meet commitments.
Oversee the full lifecycle of reporting and analytics products, including initial delivery, adoption, enhancement, maintenance, rationalization, and retirement.
Requirements
Bachelor's degree in Data or Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business, Healthcare Administration, or a related field
AWS Full Stack Developer designing, building, and supporting secure, scalable, cloud-native applications.
Responsibilities
Design, develop, test, and maintain end-to-end web applications using Java, Spring Boot, JavaScript/TypeScript, HTML, CSS, and Lit-based web components.
Build reusable, accessible, responsive, and standards-based UI components using Lit and native Web Components.
Design and implement secure REST and event-driven APIs and integrate applications with enterprise and third-party systems.
Develop cloud-native services on AWS using appropriate compute, storage, database, integration, security, and observability services.
Create and support microservices deployed through containers and serverless patterns.
Lead Consultant responsible for designing and implementing Teamcenter data migration solutions for Hi-Tech customers, ensuring scalable, secure architectures and smooth transition.
Responsibilities
Participate in customer discussions to gather and analyze system requirements
Provide solution architecture suggestions and contribute to tech framework development
Identify suitable technologies and perform comparative analysis
Develop integration strategies and validate proof of concept
Facilitate smooth transition with knowledge transfer and quality standards
Requirements
Bachelor’s degree or foreign equivalent
Nice to have: Siemens Teamcenter certification
Nice to have: Teamcenter - Siemens Industry Solutions for Medical Device Technology
Nice to have: Legacy PLM QMS document management retirement
Nice to have: Data retention and archival strategies
Nice to have: certification in Power BI, business intelligence, analytics, cloud technologies, Agile delivery, project management, data management, or technology leadership
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