Job Description : -
As a Solution Architect – AI / ML at Space Inventive , you will be responsible for designing and delivering advanced architectures for AI and Generative AI applications. This role demands a blend of technical depth and architectural vision—turning business requirements into scalable, secure, and high-performing AI solutions. You will play a key part in shaping solution blueprints, guiding development teams, and ensuring successful implementation of enterprise-grade AI applications.
Key Responsibilities :
Architectural Design & Enterprise Solutions :
- Design and implement robust, scalable architectures for AI / ML applications, including LLMs, RAG pipelines, agentic orchestration, and vector databases with built-in guardrails for security,
compliance, and responsible AI practices.
Define and maintain enterprise-level blueprints, technical roadmaps, and solution designs.Translate business needs into secure and efficient AI-driven architectures.Proposals, PoVs & Solutioning :
Build and present proposals, PoCs, and Proof-of-Value (PoV) decks to showcase solution feasibility.Lead technical discussions with stakeholders and prospects, aligning architecture to their goals.Provide estimations, resource planning, and end-to-end technical solution outlines.Implementation & Delivery Oversight :
Oversee end-to-end development and integration of AI solutions across pipelines, APIs, and databases ensuring governance, auditability, observability and ethical adherence in production-grade deployments.Provide technical guidance and code / design reviews to ensure maintainable, high-quality systems.Guide teams in implementing multi-model inferencing pipelines and agentic orchestration frameworks for enterprise-grade AI applications.Optimization & Performance :
Identify and resolve performance bottlenecks across AI / ML pipelines.Continuously monitor and tune architectures for high-performance operations.Documentation & Knowledge Sharing
Maintain comprehensive documentation : architecture diagrams, API specifications, deployment guides.Conduct knowledge-sharing sessions and mentor team members on AI / ML and architectural best practices.Required Skills & Experience :
10+years of overall technology experience, with 3+ years in AI / ML architecture leadership.Proven expertise in Generative AI, LLMs, RAG pipelines, agentic orchestration frameworks, and vector databases.Strong background in Python frameworks, API development, and multi-model inferencing.Deep knowledge of NLP techniques : transformer networks, embeddings, intent recognition, and prompt engineering techniques.Experience with at least one major cloud platform (AWS, Azure, or GCP).Strong analytical, architectural sketching, and problem-solving skills.Excellent communication and collaboration abilities, with experience mentoring teams.Preferred Attributes
Experience in rapid prototyping of AI applications and building solution blueprints independently.Familiarity with regulated industries (Healthcare, Pharma, Life science) is a plus, though not mandatory.Strong ability to align architectures with business outcomes and drive innovation from concept to delivery.