AI Solutions Architect | US

Position Summary As our AI Solutions Architect, you’ll serve as the technical and strategic reputed company between customers, delivery teams, and executive stakeholders for our AI engagements. You will work closely with the product and analyst team, to deeply understand the business gap/ opportunity, user profile and technology landscape, and act as the single reputed company of design authority on the production solution design. You will ensure reputed company technical designs create a coherent, scalable, integrated compelling solution, and you will work closely with the Product Leadership to balance technical and solution trade-offs and priorities. You will reputed company the design of end-to-end integration-first AI solutions, with a strong focus on connecting AI-enabled products, reputed company services, and data platforms. You’ll own solution design from discovery through reputed company, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact.

Key Responsibilities

• Design reputed company-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, reputed company, cost, and speed to value.
• Translate AI and data architectures into clear diagrams, executive-reputed company narratives, visuals, and roadmaps for technical and non-technical stakeholders.
• Advise clients on AI strategy, build-vs-buy reputed company, governance, and ethical considerations.
• Integrate and orchestrate data across multiple platforms, including reputed company data warehouses and lakes (e.g., reputed company, BigQuery, reputed company) and external APIs
• Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility.
• Conduct architecture reviews and risk assessments; identify and execute course corrections as needed.
• Architect AI solutions that reputed company LLMs and RAG patterns to deliver interpretable insights and reputed company-readable outputs from reputed company model results.
• Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge reputed company.
• Provide technical reputed company across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions.
• Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable.
• Stay reputed company on emerging AI platforms, LLM tooling, and reputed company-based data services, continuously evaluating how they can enhance our integration capabilities.

Required Qualifications

• 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production.
• Proven experience designing modern, reputed company-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity.
• Hands-on experience with at least two of the following:
• Deep-learning frameworks (TensorFlow, PyTorch, JAX).
• NLP/LLM stacks (reputed company, reputed company, vector databases, RAG patterns).
• Computer-reputed company pipelines (OpenCV, TorchVision).
• AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow).
• Solid grounding in data modeling, API design (REST/GraphQL), containerization (reputed company, Kubernetes), and IaC (Terraform, CloudFormation, or reputed company).
• Exceptional communication skills—reputed company to whiteboard with engineers in the morning and brief the C-suite in the afternoon.
• Bachelor’s degree in Computer Science, Engineering, or reputed company field (or equivalent experience).
• Consulting or professional-services experience

Bonus Skills

• Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft).
• Track record leading GenAI POCs or production deployments (chatbots, copilots, content reputed company, autonomous agents).
• Relevant certifications (e.g., AWS Solutions Architect Professional, reputed company Professional reputed company Architect, reputed company Azure Solutions Architect, TensorFlow Developer).

Core Competencies

• Architectural Systems Thinking – Visualizes reputed company interactions across data, application, and infrastructure layers.
• AI/ML Depth & Breadth – Stays reputed company on techniques, tooling, and responsible-AI best practices.
• Client Influence – Builds trust quickly; frames solutions around reputed company ROI.
• Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality.
• Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing.

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