Artificial Intelligence Architect

Experience: 9.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)
(*Note: This is a requirement for one of Uplers' client - Middleware Products Provider)
What do you need for this opportunity?
Must have skills required:
code assets, unstructured docs, user telemetry, AI, embeddings, Keras, ML algorithms, PyTorch, TensorFlow, Cloud Server (Google / AWS), Data Modelling, Docker, Kubernetes, XML
Middleware Products Provider is Looking for:
Role Purpose
The AI Architect will drive the design, development, and integration of AI capabilities across the our Developer Platform. This role ensures that GenAI, agentic systems, and ML-driven workflows extend our ecosystem of model-driven tools, APIs, IDE extensions, and configuration authoring. You will work closely with the Chief Architect and product leadership to transform complex specification-driven configuration and development workflows into intelligent, assistive, and increasingly automated experiences powered by state-of-the-art AI.
Key Responsibilities
AI Architecture & System Design
Architect scalable, resilient, and secure AI systems integrated directly into developer workflows.
Own the end-to-end lifecycle of AI features — design, experimentation, evaluation, deployment, and optimization.
Define architectural building blocks for GenAI assistants, RAG pipelines, model-context protocols (MCP), tool-using agents, and agentic workflows.
Build reusable AI components across IDE extensions, model-driven editors, code generators, and configuration pipelines.
Define architectural building blocks for GenAI-based assistants, RAG pipelines, MCP clients/servers, and agentic workflows.
Generative AI & Agentic Systems
Lead the design and implementation of LLM-powered features using commercial, open-source, and/or fine-tuned models.
Build RAG pipelines grounded in specifications, schemas, metamodels, API contracts, and domain documentation, including structured and unstructured sources.
Implement agentic AI using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP-style patterns.
Apply advanced prompt engineering, tool-based prompting, and structured output strategies for deterministic behaviour.
Deep Learning & ML Engineering
Apply strong foundational knowledge in ML algorithms, neural networks, embeddings, transfer learning, and evaluation techniques.
Use PyTorch, TensorFlow, Keras, and Hugging Face ecosystems (Transformers, PEFT, LoRA) to build and optimize models.
Design semantic embeddings for specification documents, XML models, and configuration metadata.
MLOps & DevOps
Implement end-to-end ML pipelines for training, validation, inference, monitoring, and continuous improvement.
Deploy and scale AI workloads using containerization (Docker) and orchestration (Kubernetes).
Utilize MLflow, Kubeflow, or equivalent for experiment tracking, model registry, and lifecycle automation.
Build production-grade guardrails, monitoring, traceability, and observability for AI systems.
Data Architecture
Design data ingestion and processing pipelines for unstructured docs, XML, data models, logs, user telemetry, and code assets.
Operate vector stores (Milvus, Chroma, Pinecone) and graph databases (Neo4J or similar) for semantic retrieval and reasoning.
Ensure robust data governance, schema alignment, metadata management, and feature engineering.
Cloud & Enterprise Integration
Deploy AI services across AWS, Azure, or GCP and align with enterpris standards.
Utilize cloud-native AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
Integrate AI components with APIs, microservices, and the larger tooling platform.
Security & Compliance
Ensure alignment with enterprise-grade security practices (OAuth2, JWT, TLS hardening, secrets management).
Implement privacy, governance, GDPR, and functional safety–aware design where required.
Experience & Background
Must Have
10+ years in software architecture with at least 5 years in applied AI/ML.
Track record of delivering AI-driven features or platforms in real-world enterprise or developer-tooling contexts.
Experience collaborating with product, engineering, and architecture teams to deliver high-impact solutions.
Strong understanding of Agile development and iterative delivery cycles.
Education
Master’s degree in computer science, Data Science, AI/ML, or a related field (or equivalent strong experience).
Key Skills & Attributes
Technical
Strong system-design thinking with an ability to balance latency, throughput, cost, and reliability.
Deep understanding of model architectures, embeddings, fine-tuning, and evaluation.
Expertise in Python and hands-on with modern AI frameworks.
Ability to design and integrate AI solutions inside IDEs and configuration tooling (VS Code, Eclipse RCP, custom editors).
Experience grounding AI models in domain-heavy systems (IDLs, schemas).
Behavioural
Strategic thinker who aligns AI roadmap with product and organizational goals.
Excellent communication skills — able to translate deep AI concepts for engineering, product, and leadership teams.
Highly collaborative, hands-on, and comfortable working in fast-paced initiatives.
Curiosity-driven, self-learning mindset with a passion for adopting cutting-edge AI technologies.
Customer-centric outlook with a focus on user experience, determinism, and reliability.
Why Join Us?
You will architect the next generation of intelligent automotive tooling - shaping how middleware, configuration, and model- driven development evolve in the era of AI. You will operate at the intersection of:
Deep automotive domain knowledge
State-of-the-art AI orchestration
Complex, model-driven configuration
VS Code and cloud-based tooling ecosystems
You will directly influence the future of AI-native engineering tools across the automotive software stack.
How to apply for this opportunity?
Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Work arrangement
Hybrid