Intern will help design and develop an enterprise AI solution that enables employees to find information, answer operational questions, and complete workflows using company data and knowledge sources.
Compensation
The pay range for this position $36 - $50 per hour.
Responsibilities
Develop AI-powered applications using enterprise data and knowledge sources.
Build and test agentic AI, retrieval, search, and workflow capabilities.
Integrate AI solutions with APIs, databases, and business applications.
Evaluate solution accuracy, source grounding, performance, and usability.
Document the solution and present results to technical and business stakeholders.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Information Systems, or a related field
The annual base salary range for this position is $160,000.00 - $179,000.00
Responsibilities
Architect, design, build, integrate, and deliver enterprise platforms, custom applications, workflow solutions, APIs, automation, and production AI agents
Write and maintain production-ready code, configurations, integrations, agent workflows, tests, and deployment artifacts
Own the production behavior, operational readiness, observability, reliability, and incident response of platforms and AI-enabled solutions
Provide hands-on technical leadership, leading design and code reviews, mentoring engineers, and guiding stakeholders
Join Zensar's AI Platform Development team to design, build, and deploy custom AI platforms for internal use and clients, working both in-house and on client sites.
Responsibilities
Build AI platforms end-to-end, including services, APIs, web interfaces, data, and tests
Develop AI agents and associated controls such as prompts, tools, retrieval, evaluations, human approval, and audit trails
Propose new features and take them from idea to release
Write clear specifications and review outputs from AI coding assistants
Deploy platforms into client clouds or data centers and integrate with client systems and APIs
Requirements
BS or MS in Computer Science, Computer Engineering, or related field from a strong US university
Design and build custom AI platforms for internal use and clients, deploying them on major clouds or client environments. Engineers build features end-to-end, AI agents, and controls around them.
Locations (2)
San Jose, California, United States
Ann Arbor, Michigan, United States
Responsibilities
Build features end to end: services and APIs, web interfaces, data and tests.
Build AI agents and the controls around them: prompts, tools, retrieval, evaluations, human approval and audit trails.
Understand the roadmap, propose new features, and take them from idea to release.
Work with AI coding assistants every day: write clear specifications, review what they produce, own the result.
Deploy platforms into a client's cloud or data centre and integrate them with the client's systems and APIs.
Requirements
BS or MS in Computer Science, Computer Engineering or a related field from a strong US university
The Associate Director of Technology is a technical leader who bridges strategy and execution. This role is responsible for translating the firm’s technology strategy, as established by the Vice President of Technology, into implementation roadmaps and scalable, secure, and effective systems and processes for a 120-person organization, and for independently executing those plans.
Compensation
Annual discretionary bonus based on both company performance and individual performance
Responsibilities
Implement and maintain practical cybersecurity controls, access standards, data retention and destruction practices, and other technology safeguards across the firm.
Partner with the Vice President of Technology to develop technology policies and governance standards, then translate them into clear processes, technical configurations, employee guidance, and training.
Monitor technology risks, industry practices, and vendor recommendations; validate technical implementation and follow through rather than relying solely on third-party assurances.
Support incident response, business continuity, vendor risk, and other technology-related governance activities while balancing firmwide standards with legitimate employee, client, and project requirements.
Administer and serve as a technical owner for firmwide platforms including Microsoft 365, Slack, Zoom, HubSpot, 1Password, endpoint-management tools, and other core enterprise systems, with the ability to step in directly for troubleshooting, security response, or critical operational needs.
Lead AI engineering initiatives across enterprise solutions, partnering with business leaders to design, prototype, and deploy AI-driven productivity tools.
Compensation
The expected wage range for a new hire into this position is $159,638 to $239,457.
Responsibilities
Partner directly with business leaders to identify productivity bottlenecks and growth opportunities.
Lead discovery workshops and translate ambiguous business challenges into AI solution roadmaps.
Design, prototype, and deploy Enterprise AI assistants, copilots, and agentic workflows.
Build proof-of-concepts and rapidly validate business value.
Collaborate with platform teams to productize successful solutions using shared enterprise platforms.
Desenvolver soluções baseadas em IA Generativa, LLMs, RAG, agentes inteligentes e hiperautomação, transformando necessidades do negócio em aplicações escaláveis e de alto impacto.
Responsibilities
Desenvolver soluções baseadas em IA Generativa, LLMs, RAG, agentes inteligentes e hiperautomação, transformando necessidades do negócio em aplicações escaláveis e de alto impacto
Criar agentes capazes de utilizar APIs, ferramentas, bases de dados e sistemas corporativos para executar tarefas, automatizar processos e apoiar a tomada de decisão
Projetar arquiteturas e workflows agênticos contemplando gerenciamento de contexto, memória, tool/function calling e mecanismos human-in-the-loop
Desenvolver componentes, frameworks e serviços reutilizáveis para acelerar a implementação de novos casos de uso de IA
Atuar na evolução da esteira corporativa de desenvolvimento e operação de agentes e soluções de Inteligência Artificial
Requirements
Formação superior completa em Ciência da Computação, Engenharia da Computação, Sistemas de Informação, Engenharia de Software, Ciência de Dados ou áreas correlatas
Syntax is seeking a Senior SAP SD VC Consultant with 8+ years of experience to lead the design, implementation, enhancement, and support of SAP SD solutions. In this role, you will partner with clients and technical teams to translate business requirements into effective SAP solutions, improve order-to-cash processes, and support configuration-driven enterprise initiatives across complex SAP environments.
Compensation
Competitive, above-average compensation
Responsibilities
Lead SAP SD design, configuration, and continuous improvement across sales and enterprise structure, order-to-cash, pricing and settlement, delivery/shipping/transportation and billing, returns, credit/debit memos, free goods, and intercompany sales.
Conduct requirements-gathering sessions, analyze business processes, and recommend appropriate SAP solutions.
Create functional specifications, process models, test plans, and user documentation.
Coordinate integrations with MM, FI/CO, EWM/WM, TM, CRM, tax engines, EDI, IDocs, APIs, and external logistics systems.
Support data migration, conversion, validation, and reconciliation activities.
Requirements
Bachelor’s degree in Information Systems, Computer Science, Business, or a related field preferred
Define enterprise data models, architecture standards, governance frameworks and integration patterns to support consistent information management across the organisation.
Translate complex business and operational requirements into practical data architecture and information management solutions.
Provide architectural guidance on integration strategies, platforms and cloud-based data solutions.
Collaborate with engineering, operations, service management and project teams to develop target-state and reference architectures.
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