AI Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, PeopleNTech, is seeking the following. Apply via Dice today!Must have skills : Data Modeling (Strong), Generative & Agentic AI, Machine Learning, Python (Expert), Embeddings & Vector DatabasesJob Description : We are looking for a seasoned AI Architect / Principal Data Scientist to join our AI & Tech Accelerator.In this role, you will lead the design, architecture, and enterprise-scale deployment of advanced AI systems, leveraging Machine Learning, Generative AI, and emerging Agentic AI paradigms.You will play a critical role in shaping AI strategy, driving innovation at scale, and enabling business transformation through cutting-edge intelligent systems.key Responsibilities:In this role, you will operate at the intersection of strategy, architecture, and execution, driving enterprise-wide AI adoption.Architect & Scale AI Solutions: Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs).Establish best practices for building robust and reusable AI platforms.Lead Generative & Agentic AI Innovation: Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks.Drive innovation in areas such as RAG, context engineering, and intelligent automation.Enterprise Impact & Transformation:Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy.Technical Leadership & Governance:Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices.Ensure scalability, security, and compliance across all AI initiatives.Cross-functional Leadership: Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions. Lead architecture discussions and influence key technical decisions.Mentorship & Capability Building:Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture.Lead communities of practice and contribute to organizational capability development.What We Are Looking For:We are seeking a strategic thinker and hands-on architect who combines deep technical expertise with strong business acumen and leadership capabilities.Education & Experience:Bachelor s or Master s degree in Computer Science, AI, Data Science, or a related field11 13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systemsProven experience in architecting enterprise-grade AI/ML platforms and solutionsTechnical Expertise: AI/ML & Advanced Analytics:Strong expertise in Machine Learning, Deep Learning, and statistical modelingExperience designing scalable ML systems and production pipelines Generative AI & Agentic AI:Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applicationsStrong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databasesHands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration Architecture & Engineering:Strong system design and architecture skills for distributed AI systemsExpertise in Python, SQL, and software engineering best practicesExperience with microservices, APIs, and scalable backend systems MLOps & Platform Engineering:Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governanceHands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar Cloud & Data Platforms:Deep experience with cloud platforms, especially Google Cloud Platform (Vertex AI, BigQuery) and/or DatabricksStrong understanding of data lakes, data warehouses, and real-time data processingSoft Skills & Mindset: Strategic Leadership:Ability to align AI initiatives with business goals and drive long-term technology vision Ownership & Accountability:Takes end-to-end ownership of architecture, delivery, and outcomes Influence & Communication: Strong ability to communicate complex technical concepts to senior stakeholders and executives Innovation Mindset: Continuously explores emerging AI trends and drives adoption of next-gen technologiesAdditional Expectations (Architect Level):Define AI roadmap and contribute to organizational AI strategyEstablish reusable frameworks, accelerators, and best practicesDrive cost optimization and performance efficiency at scaleEnsure ethical AI and responsible AI implementation