Hi,
Hope you are doing well!!
I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details at Rewa.s@noviainfotech.com.
Job Title: Senior AI Architect / Enterprise AI Solutions Architect
Location: McLean, VA (Onsite)
Job Type: Contract
Job Description:
Experience Level: 10+ Years (Enterprise Architecture + AI Programs)
Primary Skill: Python + Enterprise AI Architecture (LLM Niche)
Role
Summary:
We are seeking a Senior
AI Architect with enterprise architecture ownership to drive AI
modernization, define solution blueprints, and lead large-scale AI program
vision. The role combines strategic
AI architecture, multi-cloud
AI engineering, and LLM-based
product transformation, with hands-on involvement in
development, governance, and deployment.
Must-Have Technical Competencies
AI & LLM Architecture
- Extensive expertise in Large Language Models (LLMs), AI frameworks, and enterprise AI strategy
- Vector Databases (Pinecone, Weaviate, Milvus, or similar)
- Retrieval-Augmented Generation (RAG), AI Agents, and Agent-based automation
- Prompt Engineering Techniques:
- Zero-shot, One-shot, Few-shot prompting
- Chain-of-Thought (CoT)
- Prompt design and optimization
- Strong understanding of:
- Natural Language Processing (NLP)
- Autoencoders and model optimization
- Convolutional Neural Networks (CNNs)
- Deep learning fundamentals
Cloud & Deployment
- Experience architecting and deploying AI solutions on multi-cloud platforms:
- AWS, Microsoft Azure, and Google Cloud
- AI Services Integration:
- AWS AI services (Bedrock, SageMaker, Lambda, etc.)
- Azure AI services (OpenAI Service, AI Search, Functions, etc.)
- Google Cloud AI tools and SDKs
- Cloud-native AI pipeline design, scalable deployment, and secure model hosting
- Kubernetes/Docker exposure for AI workloads is a plus
Programming & Development
- Python (Primary) – Enterprise-scale AI and automation development
- Experience building AI solutions using Python, C, or equivalent languages
- Expertise with Python AI/ML frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex, or similar)
- UI/UX exposure for AI applications is beneficial
Architecture & Governance
- Enterprise-level solution design, architecture governance, and standards definition
- Ability to translate business problems into scalable AI system designs
- Strong experience leading design reviews, architecture alignment, and AI governance
- Ownership of AI reference architecture and best-practice frameworks
Key Responsibilities
Strategic AI Leadership
- Define and own the end-to-end AI solution architecture
- Establish enterprise AI standards, guidelines, and Responsible AI frameworks
- Build long-term technical vision for enterprise AI modernization programs
- Identify AI platform modernization opportunities:
- Simplification
- Scalability improvements
- Risk-aware AI decisioning
- Automation optimization
AI Solution Delivery
- Lead requirement discovery, user story creation, and AI solution design
- Design and implement cloud-native AI systems and data flows
- Oversee model deployment, API integration, and LLM productionization
- Conduct performance validation, security assessments, and system readiness reviews
- Be hands-on in development, debugging, and troubleshooting complex AI challenges when needed
Collaboration & Mentorship
- Partner with Product, Engineering, Data Strategy, and Cloud teams
- Drive execution using Agile methodologies, sprint planning, and solution backlog prioritization
- Provide technical mentorship and architecture guidance to AI/ML and engineering teams
- Champion collaboration across enterprise stakeholders to ensure successful AI adoption
Nice to Have / Preferred
- Experience in BFSI, Payments, or high-compliance AI environments
- CI/CD exposure for AI deployments (GitHub Actions, Jenkins, Fastlane, etc.)
- Experience with monitoring/logging tools (Splunk, Prometheus, etc.)
Soft Skills
- Excellent stakeholder communication and leadership presence
- Ability to simplify and communicate complex AI concepts clearly
- Highly proactive, independent, and solution-driven
- Strong collaboration and mentoring mindset
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