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Master Frontier Engineer

Cognizant Technology Solutions

Sammanfattning

In this hybrid role as a Master Frontier Engineer, you will lead the design and deployment of advanced AI-native systems for enterprise clients, combining technical expertise with strategic thinking. You will work primarily in Sweden, collaborating with teams to create scalable AI solutions and establish governance models. Your responsibilities will include architecting agentic systems, defining orchestration patterns, and mentoring emerging talent in the field.
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Det här erbjuder vi

Opportunity to work with leading Nordic and global clients.Access to continuous learning, certifications, and career development.Collaborative and inclusive work environment.Competitive compensation and benefits package.

Stockholm

Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-21

Beskrivning

About the role

As a Master Frontier Engineer, you'll help define what's next in enterprise AI. Acting as the lead architect within a Frontier pod, you'll combine deep technical expertise, business acumen and strategic thinking to design AI-native systems that create measurable outcomes for some of the world's leading organizations.

As a trusted technical advisor, you'll guide the architecture, governance and evolution of complex agentic systems, translate complex challenges into scalable AI solutions, establish engineering standards and mentor the next generation of Frontier talent, turning bold ideas into production-ready capabilities that create lasting value.

In this role, you will
  • Design and deploy advanced agentic systems and workflows, establishing governance models for permissions, context-sharing and data access.
  • Architect enterprise-scale agent deployments on leading AI platforms, creating trust layers and cross-agent governance frameworks that enable responsible AI adoption.
  • Define orchestration patterns, state management strategies, tool-calling frameworks and resilience models for complex AI ecosystems.
  • Establish AI quality engineering practices, including agent evaluation frameworks, synthetic data strategies and agentic testing methodologies.
  • Design and scale enterprise knowledge architectures, ontologies and retrieval systems that enable trustworthy, context-aware AI experiences.


Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Sweden. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered
  • 7-15 years of delivery experience with deep AI-systems design expertise.
  • Strong agentic system architecture skills, including AI orchestration and state-management patterns.
  • Hands-on experience with enterprise agent platforms such as Copilot Studio or Agentforce, and MCP/A2A agent protocols.
  • Expertise in RAG-at-scale and grounding strategy, plus knowledge graph and ontology engineering.
  • Agentic test-framework design experience together with AI security and access controls.


These will help you succeed
  • AI-native solution architecture expertise paired with strong agentic engineering and orchestration.
  • Context and retrieval engineering depth for grounding agents at enterprise scale.
  • AI quality and evaluation design experience across agentic systems.
  • Technical leadership and advisory skills, with strong client engagement and the ability to mentor engineers.
  • Domain fluency, contextual judgment and a strong business-outcome orientation.

What we offer:
  • Opportunity to work with leading Nordic and global clients.
  • Challenging and impactful ServiceNow transformation programs.
  • Access to continuous learning, certifications, and career development.
  • Collaborative and inclusive work environment.
  • Competitive compensation and benefits package.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Ansök till tjänsten

Master Frontier Engineer

Denna arbetsplats har annonserats på Compilation Source (Sweden)-tjänsten den 2026-09-21 och publicerades av Compilation Source (Sweden).
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Cognizant Technology Solutions

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