Solution Architect

3 days ago

hyderabad, India Space Inventive Full time

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.

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