AI Architect Presales

Must have 12 + years of experience

An accomplished Senior AI Architect with 12–15 years of progressive experience in designing, building, and delivering enterprise-scale AI and Generative AI (GenAI) solutions across public cloud ecosystems (Azure, AWS, GCP). The ideal candidate will serve as both a technical strategist and client-facing leader
, driving AI architecture design,
pre-sales solutioning, client engagement, and innovation leadership across diverse industry verticals.

This role blends deep technical expertise with strong business acumen — ideal for someone who can translate cutting-edge AI capabilities into measurable business outcomes.

• Architect scalable, secure, and high-performance AI/ML and GenAI platforms leveraging cloud-native services and frameworks.
• Design end-to-end AI reference architectures
  , covering data ingestion, model development, deployment, governance, and LLMOps.
• Evaluate and integrate LLMs, vector databases, and RAG pipelines for enterprise use cases (e.g., chatbots, copilots, document analyzers, and cognitive automation).

• Partner with sales, account, and delivery teams to lead AI opportunity qualification, scoping, and solutioning
  .
• Conduct customer discovery workshops, PoC planning, and technical presentations to articulate AI value propositions.
• Prepare solution proposals, cost estimates, effort models, and architecture diagrams tailored to client requirements.
• Contribute to RFP/RFI responses, bid defense, and client demonstrations showcasing AI capabilities and differentiators.

• Act as a trusted AI advisor to client executives, helping shape their AI strategy and roadmap.
• Manage CXO-level discussions
  , handle technical objections, and translate complex AI concepts into business-friendly narratives.
• Foster long-term relationships with customers to identify expansion opportunities and drive AI adoption maturity.

• Oversee architecture reviews, design validation, and technical quality assurance across AI projects.
• Collaborate with delivery teams to ensure architecture alignment, scalability, and operational efficiency.
• Mentor and guide AI engineers, data scientists, and solution architects
  , fostering innovation and continuous learning.

• Evaluate new AI/GenAI technologies, frameworks, and models (e.g., GPT-4/4o, Claude, Gemini, LLaMA, Mistral).
• Develop accelerators, reusable assets, and reference implementations to enhance pre-sales effectiveness.
• Represent the organization at industry forums, webinars, and client advisory boards as an AI thought leader.
• GenAI/LLM Expertise: Prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, embeddings, and vector DBs (Pinecone, Weaviate, FAISS, Cosmos DB, Milvus).
• GCP: Vertex AI, Big Query ML.
• Data Engineering: Knowledge of data lakes, feature stores, and streaming systems (Kafka, Event Hub).
• Business & Pre-Sales Tools: MS Visio, PowerPoint, Excel-based ROI models, cost estimators, proposal templates.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence.
• 12–15 years of total experience
  , with at least 6+ years in AI architecture & solution design and 3+ years in pre-sales or client-facing roles
  .
• Proven track record in conceptualizing and delivering AI-driven business solutions at enterprise scale.
• Certifications in Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer preferred.
• Strong presentation, storytelling, and negotiation skills.

• Experience in building and leading AI CoEs or innovation teams
  .
• Deep understanding of Responsible AI, governance, and model risk frameworks
  .
• Ability to balance technical depth with executive-level communication
  .
• Demonstrated success in winning deals or expanding AI engagements through consultative selling.