Associate Distinguished Engineer AI, Data Science & Agentic Solutions
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Job Location:
Any - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Department:
Engineering
Job Summary
As an Associate Distinguished Engineer AI Data Science & Agentic Solutions you will act as a senior technical authority responsible for architecting validating and scaling next-generation AI systems across enterprises. This role is deeply hands-on with modern AI/ML ecosystems agentic architectures large-scale data platforms and cloud-native engineering patterns.
Preferred locations: Atlanta GA & NYC NY
1. AI Architecture & Technical Leadership
- 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.
2. Advanced AI/ML Engineering
- 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.
3. Data Platform & Infrastructure Architecture
- 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.
4. Technical Advisory & Engineering Governance
- 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.
5. Innovation & Ecosystem Leadership
- 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.
Qualifications :
- 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.
Ideal Persona
A deep technologist who:
- Operates at the intersection of AI architecture systems engineering and scientific rigor.
- Design AI architectures review complex pipelines and still communicate effectively with CTO/CDO leaders.
- Leads through engineering excellence credibility and technical mentorship.
- Builds systems that learn continuously scale reliably and deliver measurable impact.
Additional Information :
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race creed color national origin sex age disability or marital status
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more
