Solution Architect

1 day ago

Greater Hyderabad Area, 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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