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AI Application Architect

AI Application Architect

Space InventiveHyderabad, Republic Of India, IN
17 hours ago
Job description

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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    Application Architect • Hyderabad, Republic Of India, IN

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