Principal Engineer AI Architect Principal Data Scientist

We are looking for a seasoned AI Architect / Principal Data Scientist to join our AI & Tech 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:

• Bachelors or Masters degree in Computer Science AI Data Science or a related field
• 1113 years of experience in AI/ML with significant experience in designing and deploying large-scale AI systems
• Proven experience in architecting enterprise-grade AI/ML platforms and solutions

Technical Expertise:

AI/ML & Advanced Analytics:

• Strong expertise in Machine Learning Deep Learning and statistical modeling
• Experience designing scalable ML systems and production pipelines

Generative AI & Agentic AI:

• Deep expertise in LLMs (GPT Claude Llama Gemini) and their enterprise applications
• Strong experience in RAG architectures prompt engineering context engineering embeddings and vector databases
• Hands-on experience with agentic frameworks (LangGraph CrewAI AutoGen) and multi-agent orchestration

Architecture & Engineering:

• Strong system design and architecture skills for distributed AI systems
• Expertise in Python SQL and software engineering best practices
• Experience with microservices APIs and scalable backend systems

MLOps & Platform Engineering:

• Strong experience in MLOps practices including CI/CD model versioning monitoring and governance
• Hands-on experience with tools such as MLflow Vertex AI Kubeflow or similar

Cloud & Data Platforms:

• Deep experience with cloud platforms especially GCP (Vertex AI BigQuery) and/or Databricks
• Strong understanding of data lakes data warehouses and real-time data processing

Soft 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 technologies

Additional Expectations (Architect Level):

• Define AI roadmap and contribute to organizational AI strategy
• Establish reusable frameworks accelerators and best practices
• Drive cost optimization and performance efficiency at scale
• Ensure ethical AI and responsible AI implementation

Qualifications :

Must have Skills: Data Modeling (Strong) Python (Expert) Generative & Agentic AI Machine Learning o Embeddings & Vector Databases

Remote Work :

No

Employment Type :

Full-time