Associate Distinguished Engineer - AI, Data Science & Agentic Solutions jobs in United States
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Nagarro · 1 month ago

Associate Distinguished Engineer - AI, Data Science & Agentic Solutions

positionUnited States
timeFull-time
remoteRemote
seniorityLead/Staff
date12+ years exp

Nagarro is a Digital Product Engineering company that is scaling significantly. They are seeking an Associate Distinguished Engineer in AI, Data Science & Agentic Solutions to act as a senior technical authority responsible for architecting, validating, and scaling next-generation AI systems across enterprises.

Communications InfrastructureConsultingInformation TechnologyISPWireless
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H1B Sponsor Likelynote

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

Qualification

AI ArchitectureMLOps/LLMOpsCloud-native architecturesData engineeringFoundation modelsModel finetuningVector databasesKnowledge graphsArchitecture storytellingTechnical leadershipDocumentation skills

Required

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

Preferred

Track record of publications, open-source contributions, patents, technical talks, or recognized technical leadership is a strong plus

Company

Nagarro

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Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset.
dateFounded in 1996
location
Munich, Bayern, DEU
people-size10001+ employees
web-link
http://www.nagarro.com

H1B Sponsorship

Nagarro has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (189)
2024 (261)
2023 (280)
2022 (240)
2021 (153)
2020 (240)

Funding

Current Stage
Public Company
Total Funding
$11.5M
2024-10-16Acquired
2020-12-16IPO
2000-07-04Series Unknown· $11.5M

Leadership Team

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Sunil Kanderi
Co-founder & Managing Director
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Ganesh Sahai
CTO (Chief Technology Officer)
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Recent News

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2025-12-22
Company data provided by crunchbase