[Remote] Associate Distinguished Engineer - AI, Data Science & Agentic Solutions

Note: The job is a remote job and is open to candidates in USA. Nagarro is a Digital Product Engineering company that builds products, services, and experiences across digital mediums. They are seeking an Associate Distinguished Engineer to act as a senior technical authority responsible for architecting and scaling next-generation AI systems across enterprises. Responsibilities • Architect enterprise-grade AI systems using LLMs, multimodal models, vector databases, knowledge graphs, and agentic orchestration frameworks • Design end-to-end pipelines including data ingestion → feature engineering → model training → evaluation → deployment → feedback loops • Define and enforce engineering standards for MLOps, LLMOps, data quality, model observability, guardrails, prompt security, and hallucination mitigation • Consult on scalable microservices, model serving layers, retrieval-augmented generation (RAG) pipelines, and autonomous agent workflows • Conduct architectural reviews, performance tuning, and technical due-diligence for high-risk or complex AI solutions • Guide on how to build quick prototypes, PoCs, and production systems using modern AI stacks (transformer models, diffusion models, graph models, reinforcement learning, and agentic systems) • Advise on selection of foundation models and fine tuning approaches • Advise on real-time data streams, event-driven systems, API layers, and cloud-native compute • Establish evaluation frameworks: bias, drift, explainability, reliability, performance • Lead complex troubleshooting, debugging, and optimization of AI pipelines and distributed training workloads • Architect secure, high-throughput data platforms for AI/BI use cases based on lakehouse, medallion, streaming, and vectorized storage patterns • Define data governance, metadata, lineage, cataloging, and policy enforcement mechanisms • Deploy scalable compute using Databricks, Snowflake, Kubernetes, Ray, SageMaker, Vertex AI, and Azure ML • Guide CIO/CTO/CDO teams on AI system design, architecture modernization, model lifecycle governance, and platform engineering standards • Translate ambiguous requirements into well-scoped technical blueprints, reference architectures, and engineering backlogs • Evaluate enterprise readiness across data, models, infrastructure, and processes — producing AI maturity assessments and architectural recommendations • Mentor engineering teams in building reliable, secure, and scalable AI systems with measurable outcomes • Lead deep-dive technical workshops on agentic systems, generative AI patterns, model safety architectures, continuous learning loops, and intelligent automation • Collaborate with hyperscalers and partners (AWS, Azure, GCP, Databricks, Snowflake, NVIDIA) on technical accelerators, performance benchmarks, and reference implementations • Stay ahead of emerging architectures (multi-agent, RAG 2.0, synthetic data generation, self-improving systems) and translate them into actionable engineering strategies Skills • 12+ years in AI/ML, data engineering, or large-scale distributed systems • Deep hands-on expertise in: Foundation models (LLMs, multimodal, vision, speech, embeddings) • Model finetuning, training, inference optimization, evaluation • MLOps/LLMOps workflows and ML engineering best practices • Vector databases, knowledge graphs, retrieval systems • Strong experience with cloud-native architectures (AWS, Azure, GCP) and data platforms (Databricks, Snowflake, BigQuery, Lakehouse) • Demonstrated ability to design complex AI systems that operate reliably at scale • Experience influencing senior technology leaders through architectural clarity and technical depth • Strong documentation, architecture storytelling, and ability to simplify complex technical concepts for varied audiences • Track record of publications, open-source contributions, patents, technical talks, or recognized technical leadership is a strong plus Company Overview • Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. It was founded in 1996, and is headquartered in Munich, Bayern, DEU, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Nagarro has a track record of offering H1B sponsorships, with 156 in 2025, 261 in 2024, 280 in 2023, 240 in 2022, 153 in 2021, 240 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job