Role Overview
We are seeking a highly skilled Azure AI Foundry Architect to design, build, and scale enterprise‑grade AI solutions using Microsoft’s Azure AI ecosystem. This role requires a hands‑on technical leader with deep expertise in agentic AI architectures, orchestration frameworks, and cloud‑native engineering. You will drive the end‑to‑end AI solution lifecycle—from experimentation to production—ensuring secure, scalable, and responsible AI adoption across the organization.
Key Responsibilities
AI Architecture & Solution Design
- Architect and hands‑on develop end‑to‑end AI solutions using Azure AI Foundry, including model lifecycle management, prompt orchestration, vector search, and evaluation pipelines.
- Design and implement agentic AI architectures, including multi‑agent workflows, tool‑use patterns, retrieval‑augmented generation (RAG), and autonomous task‑orchestration frameworks.
- Build scalable, production‑ready solutions leveraging Azure OpenAI, Azure Machine Learning, Cognitive Search, AKS, Azure Functions, Event Grid, and API Management.
- Create architectural blueprints, reusable components, and reference implementations.
Agentic Systems & Orchestration
- Hands‑on development of AI agents capable of reasoning, planning, tool invocation, and multi‑step task execution.
- Implement and optimize orchestration frameworks such as Semantic Kernel, LangChain, AutoGen, Prompt Flow, or custom agent frameworks within Azure environments.
- Apply Azure’s responsible AI tooling, guardrails, and governance controls to ensure safe and aligned agent behavior.
Technical Leadership & Delivery
- Lead technical discovery, solution workshops, and architecture reviews with engineering, data science, and product teams.
- Translate business requirements into actionable, scalable AI architectures and implementation roadmaps.
- Oversee and contribute to CI/CD automation, MLOps pipelines, and deployment workflows for AI workloads.
- Provide hands‑on guidance during development, testing, optimization, and production rollout.
Governance, Security & Compliance
- Implement enterprise‑grade security patterns including identity, data protection, network isolation, and model governance.
- Ensure compliance with organizational, regulatory, and responsible AI standards.
- Establish monitoring, observability, and evaluation frameworks for model performance, drift, and safety.
Innovation & Thought Leadership
- Stay current with emerging AI technologies, agentic frameworks, and Azure AI platform capabilities.
- Advise leadership on AI strategy, platform evolution, and opportunities for automation and transformation.
- Mentor engineering teams on AI best practices, architectural principles, and modern development patterns.
Required Qualifications
Technical Expertise
- 8+ years in software architecture or cloud engineering, with at least 3+ years focused on AI/ML solutions.
- Demonstrated hands‑on experience building and deploying solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Cognitive Search, and Azure Data services.
- Strong proficiency in Python, with additional experience in C#, .NET, or Java preferred.
- Proven experience designing and building agentic AI systems, including multi‑agent orchestration, tool‑use, planning, and autonomous workflows.
- Expertise with frameworks such as Semantic Kernel, LangChain, AutoGen, Prompt Flow, or similar.
- Strong understanding of RAG architectures, embeddings, vector databases, and LLM optimization techniques.
Architecture & Cloud Skills
- Deep experience with cloud‑native architecture, microservices, APIs, event‑driven systems, and distributed computing.
- Hands‑on experience with DevOps/MLOps, CI/CD pipelines, Docker, and AKS.
- Familiarity with enterprise security, identity (Azure AD), and governance frameworks.
Soft Skills & Leadership
- Excellent communication and stakeholder‑management abilities.
- Ability to lead cross‑functional teams and drive architectural decisions.
- Strong problem‑solving mindset with the ability to simplify complex technical concepts.
Preferred Qualifications
- Azure certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate, Azure Data Engineer Associate).
- Experience with responsible AI frameworks, model evaluation, and safety guardrails.
- Background in large‑scale digital transformation or enterprise AI platform design.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
コグニザントのコミュニティ：
私たちは、互いを尊重し支え合う優秀な人材の集まりです。社員一人ひとりが成長し、力を発揮できるよう、エネルギッシュで協力的かつインクルーシブな職場環境を大切にしています。
- コグニザントは、世界中に30万人以上のアソシエイトを擁するグローバルコミュニティです。
- 私たちは、より良い方法を夢見るだけでなく、それを実現します。
- 人、クライアント、企業、地域社会、そして環境に対して、常に「正しいこと」を行うことで責任を果たします。
- あなたにとって最適なキャリアパスを築くことができる、革新的な環境を提供します。
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
コグニザントは機会均等を重視する雇用主です。応募者および候補者は、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、または連邦、州、地方の法律で保護されているその他の特性に基づいて差別されることはありません。
免責事項：
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現住所または政府発行の身分証明書の提示が必要となる場合があります。