AI Architect / Artificial Intelligence Architect
- ADROITENT
- 10 - 20 years
- Noida, Gurugram
- 2 months ago
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Job Description
Key Responsibilities
AI Architecture & Strategy
- Define and own the enterprise AI architecture for retail use cases, aligning with business priorities and technology strategy.
- Develop reference architectures, patterns, and standards for AI/ML and Generative AI solutions.
- Translate retail business problems into scalable AI solution blueprints with clear data, model, and integration designs.
- Partner with business and product leaders to identify and prioritize high-impact AI opportunities across merchandising, supply chain, marketing, stores, and e-commerce.
AI Solutioning & Design
- Architect end-to-end AI solutions, including data ingestion, feature engineering, model training, inference, and system integration.
- Design AI systems for core retail domains such as:
- Search, recommendations, and personalization
- Demand forecasting, inventory optimization, replenishment, and allocation
- Pricing and markdown optimization
- AI assistants and copilots for store, merchandising, and supply-chain teams
- Define integration patterns between AI services and retail platforms (POS, OMS, WMS, CRM, e-commerce).
- Lead architectural reviews, ensuring solutions meet performance, scalability, security, cost, and reliability requirements.
MLOps, GenAI & Governance
- Establish MLOps and AIOps practices, including CI/CD for models, automated retraining, monitoring, drift detection, and cost controls.
- Define standards for Generative AI and LLM usage, including:
- Multi RAG architectures, MCP and vector search
- Prompt orchestration and tool-calling
- Safety, guardrails, and human-in-the-loop workflows
- Ensure AI solutions comply with data privacy, security, and responsible AI principles.
- Partner with Security, Legal, and Enterprise Architecture to align AI solutions with governance and risk standards.
Technology Evaluation, Implementation & Delivery Leadership
- Work closely with AI Engineers, ML Engineers, Data Engineers, and platform teams to ensure architectures are production-ready and executable.
- Provide hands-on guidance during implementation, including reference code, pipelines, schemas, and infrastructure patterns.
- Evaluate and recommend AI SAAS solutions, cloud services, and frameworks (AWS, Azure, GCP, Databricks, etc.).
- Lead build vs. buy decisions and support vendor selection for AI capabilities.
Required Qualifications
- 9+ years of experience in software, data, or AI engineering, with 5+ years in AI/ML architecture roles.
- Proven experience designing and delivering production AI solutions in retail, e-commerce, supply chain, or adjacent domains.
- Strong hands-on expertise in:
- Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Modern data architectures (lakehouse, streaming, batch pipelines)
- Modern Data Platforms (Databricks, Snowflake)
- Cloud platforms and managed AI/ML services
- MLOps practices (model lifecycle, monitoring, CI/CD)
- Solid understanding of LLMs, Generative AI patterns, and AI system integration.
- Excellent communication skills with the ability to explain complex architectures to both technical and business stakeholders.
Preferred Qualifications
- Deep experience in retail or consumer-facing industries (merchandising, stores, supply chain, digital commerce).
- Experience building or scaling enterprise AI platforms or AI Centers of Excellence.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Back End DeveloperEmployement Type: Full timeContact Details:
Company: ADROITENTLocation(s): Noida, Gurugram
Keyskills: Python Tensorflow Streaming lakehouse Bedrock Scikit-Learn Pytorch Batch pipeline gcp Vertex Ai Aiml aws Azure Machine Learning azure
ADROITENT
ADROITENT, INC. is a global technology services and outsourcing company delivering high-quality software engineering services using agile methodology and SEI-CMMi processes.
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