Job Description
We are looking for a highly skilled Principal Solution Architect to join our AI solutioning team. In this role, you will lead pre-sales solutioning for enterprise Agentic AI engagements. You will be the technical face to the customer during the sales cycle – assessing their data landscape, designing target state architecture and developing compelling technical proposals that win RFIs and RFPs. In this pre-sales solutioning role, you will partner closely with Sales, Business development, Consulting and Delivery teams to ensure what we propose is both best-in-class and deliverable at a reasonable cost and time.
Key Responsibilities
- Design multi-agent systems using frameworks like LangGraph, Crew.ai, Strands SDK, Microsoft Agent Framework or Google ADK with clear agent contracts, guardrails, observability and governance
- Provide pre-sales solution support for RFIs/RFPs, Capability/PoV presentations and customer workshops related to GenAI/Agentic AI use cases
- Provide technical advisory on Agentic AI topics such as orchestration patterns, evaluation, observability, AgentOps, context engineering etc. to customers
- Architect context engineering patterns covering semantic layers, vector stores, metadata catalogs, lineage and knowledge graphs to setup data for AI Agents consumption
- Establish engineering patterns for MCP server development, A2A protocol integration and tool orchestration
- Demonstrate technical authority and thought leadership in GenAI/Agentic AI discussions
- Lead architecture reviews and make technology selection decisions across the stack
- Leverage coding agents to experiment and build AI Agent prototypes to demonstrate tools & design patterns
- Create architecture decision frameworks, technology comparison matrices and visual slide decks to communicate complex architecture and technical strategies to mixed audience (executive + engineering)
- Mentor engineering and sales teams on agentic patterns, context engineering and the evolving AI services landscape
- Provide technology consulting support to delivery, CoE/community by publishing best practices/architectural guidelines, providing training, publishing whitepapers/case studies and building reusable components.
Requirements:
• Overall, 15 + years of experience in the Data Engineering and/or AIML Space
• 2+ years of experience in Generative AI/Agentic AI architecture & implementation
• 2+ years of experience in pre-sales solutioning in GenAI/Agentic AI space
• Strong proficiency in one or more Agentic AI frameworks (LangGraph, Crew.ai, Strands SDK, Google ADK, Microsoft Agent Framework)
• Strong proficiency in foundational models and AI/GenAI Services in one of the hyperscalers (AWS, Azure, GCP)
• Deep expertise in architecting & implementing multi-agentic systems with appropriate guardrails, observability and governance
• Deep expertise in advanced prompt engineering, RAG implementation and AI Agents evaluation techniques
• Proven track record of designing, developing and deploying AI Assistants & AI Agents in production environments.
• Solid understanding of Generative AI fundamentals, LLMOps/AgentOps and cloud platforms (AWS,).
• Familiarity with responsible AI practices and AI governance processes
• Basic understanding on building lakehouse and data products in Snowflake and Databricks
• Prior experience in building ontologies and knowledge graphs is an added advantage
• Excellent problem-solving, communication, and leadership skills.
コグニザントについて
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ーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
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、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、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、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
