Position listed on behalf of a partner company that manages all applications and next steps.
Partner is looking for a Senior AI Solutions Architect based in India.
Remote opportunity within a global technology environment.
Responsibilities
Act as the primary technical and delivery contact for assigned AI opportunities throughout the sales lifecycle, from qualification and discovery through solution approval, contracting, and handover.
Collaborate with sales, go-to-market, commercial, security, legal, and delivery teams to clarify business objectives, technical requirements, data constraints, and expected outcomes.
Define and validate end-to-end architectures spanning applications, AI models, data pipelines, integrations, cloud infrastructure, orchestration frameworks, and security.
Select appropriate technologies and architectural patterns based on performance, scalability, cost, compliance, and delivery complexity.
Lead or coordinate prototypes and proofs of concept to validate critical assumptions, demonstrate business value, and reduce implementation risks.
Evaluate model performance, data quality, integration requirements, security, latency, scalability, and operating costs.
Develop realistic delivery approaches, including workstreams, milestones, dependencies, resource requirements, skills, delivery locations, and mobilization plans.
Define governance structures, responsibilities, escalation processes, change controls, and ongoing support requirements.
Partner with sales, finance, commercial, and delivery stakeholders to develop viable pricing and cost models.
Contribute to proposals and statements of work by documenting deliverables, milestones, assumptions, exclusions, acceptance criteria, client responsibilities, and dependencies.
Maintain an approved solution baseline throughout contracting and ensure a structured handover to delivery teams.
Develop reusable AI architectures, delivery patterns, prototypes, estimation models, proposal templates, and commercial frameworks.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Business, or a related field, or equivalent practical experience.
Extensive experience in enterprise solution architecture, technical consulting, AI engineering, or complex technology delivery.
Advanced knowledge of application, integration, data, infrastructure, cloud, and security architecture.
Strong understanding of AI, generative AI, and agentic AI solution patterns, including model selection and evaluation, retrieval-augmented generation (RAG), prompt engineering, grounding, data pipelines, APIs, vector databases, and orchestration frameworks.
Experience with one or more major cloud platforms, such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).