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1mo ago

Distinguished Machine Learning Engineer

GEICO New York, NY

New York, NY

1mo ago Closed

$210k - $350k/yr Full time Agentic Ai Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Senior GEICO Distinguished Engineer (AI Platforms) leads enterprise-wide architecture and technical authority for Generative AI and virtual agent platforms, enabling production-grade GenAI workflows for more than 20,000 contact center employees.

Responsibilities

Own and advance the foundational architecture for GEICO's Generative AI and agentic workflow platforms.
Act as the final technical authority on complex architectural decisions affecting multiple products, teams, and business domains.
Design interconnected, high-performance, durable platform components powering end-to-end GenAI workflows.
Oversee knowledge curation and management.
Oversee search and retrieval systems.
Handle prompt and context management.
Oversee workflow orchestration and action execution.
Manage semantic and knowledge-graph systems.
Establish and drive multi-year technical strategy and roadmaps for AI platform capabilities and GenAI applications in close partnership with product and business leaders.
Balance speed, scalability, reliability, and extensibility to support future AI use cases, evolving business needs, and organizational growth.
Influence investment decisions by evaluating build versus buy tradeoffs and architectural choices for the platform and GenAI applications.
Define reference architecture and best practices for GenAI development, deployment, and integration in alignment with enterprise architecture.
Collaborate with stakeholders to identify high-impact GenAI opportunities and develop strategies to maximize business value and measurable outcomes.
Continuously assess and communicate the business impact of GenAI applications with metrics and feedback loops to inform strategy and platform evolution.
Lead evaluation and selection of core technologies, frameworks, and infrastructure for building and scaling GenAI applications, including LLM orchestration (LangChain, LlamaIndex), agentic workflows, RAG systems, and observability tooling, while partnering on underlying AI platform infrastructure for production readiness.
Collaborate across engineering, data science, ML, product, and design to align platform and GenAI direction, standards, and business objectives.
Translate complex technical and business concepts into clear architectural guidance to align teams.
Partner with senior leaders to promote enterprise-wide adoption of GenAI best practices and maximize organizational impact.
Address the most complex and ambiguous technical and business challenges affecting system-wide and application-specific performance, reliability, and scalability.
Lead deep technical reviews, architectural assessments, and design discussions for critical AI and GenAI initiatives.
Provide hands-on guidance to evolve platforms and GenAI applications, especially in high-impact or high-risk areas.
Mentor senior engineers and technical leads, raising the bar for architectural thinking, engineering quality, and decision-making for platform and GenAI initiatives.
Establish and reinforce best practices for platform and GenAI design, reliability, observability, and operational excellence.
Contribute to internal documentation, architectural standards, and knowledge sharing for the AI platform and GenAI applications.

Requirements

Master’s degree or higher in Computer Science, Engineering, Statistics, or a related field.
10+ years of professional software engineering experience with deep expertise in large-scale distributed systems.
Extensive experience architecting and building multi-component AI/ML platforms using technologies such as:
- Search and retrieval systems (Elasticsearch, Qdrant, Milvus, Pinecone, Weaviate)
- Data platforms (Snowflake, relational and NoSQL databases, and feature stores)
- Streaming and distributed processing (Kafka, Spark, Ray)
- Workflow orchestration (Airflow, Temporal, Prefect)
- LLM orchestration and application frameworks (LangChain, LlamaIndex)
- Observability, evaluation, and tracing for GenAI systems (LangSmith, Arize Phoenix, Weights & Biases, OpenTelemetry)
- Vector databases, embedding pipelines, and retrieval-augmented generation (RAG) architectures
- Agentic frameworks and multi-agent systems for complex task execution
- Full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations
- Major cloud platforms such as AWS and Azure
- Hands-on production systems using LLMs and Generative AI technologies (GPT, Llama, Mistral, Claude) to power conversational and agentic workflows
Demonstrated ability to own and operate complex, scalable GenAI programs from concept to production.

Technologies

Elasticsearch
Qdrant
Milvus
Pinecone
Weaviate
Snowflake
Relational databases
NoSQL databases
Feature stores
Kafka
Spark
Ray
Airflow
Temporal
Prefect
LangChain
LlamaIndex
LangSmith
Arize Phoenix
Weights & Biases
OpenTelemetry
Kubernetes
AWS
Azure
GPT
Llama
Mistral
Claude

Benefits

Great Company
Great Culture
Great Rewards
Great Careers
Competitive pay
Benefits
Flexibility to support your well-being and future

The GEICO Pledge

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

Annual Salary

USD 210,000.00 - USD 350,000.00 per year

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1mo ago

Lead Data Engineer / Data Architect

Glint Tech Solutions LLC Charlotte, NC

Charlotte, NC

1mo ago Closed

Full time Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Glint Tech Solutions LLC is steering an enterprise modernization program for a major US retail eCommerce platform, where a robust data architecture underpins fast, reliable customer experiences. The Lead Data Engineer / Data Architect will shape the enterprise data strategy and design scalable platforms through re-architecture, database migrations, and cloud-native microservices migration. This onsite role is based in Charlotte, NC.

Responsibilities

Design and own enterprise data architecture supporting high-volume retail eCommerce operations
Build and maintain ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks/pySpark
Design conceptual, logical, and physical data models for efficient data storage and retrieval
Implement data warehousing solutions including dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault
Lead database migrations and microservices migrations to unified cloud-native solutions
Integrate data from databases, APIs, and external providers via API integration and message queuing
Embed metadata and governance processes into cloud-based data platforms
Lead and mentor cross-functional engineering teams while driving technical strategy and stakeholder communications

Requirements

8+ years of overall experience with at least 1 year in an architect-level role
3+ years of hands-on Azure Data Factory and Azure Synapse Analytics experience
Deep Microsoft Azure expertise including Data Lake Storage, Databricks, pySpark, Cosmos DB, and PostgreSQL
Strong SQL proficiency for complex queries, transformations, and cloud performance tuning
Experience with Azure MI, Cosmos DB, Analysis Services, and Informix
Proficiency in Python and Python-based ETL tools
Shell scripting experience (Bash, Unix, or Windows)
Proven ability to lead teams, define technical strategy, and communicate across organizational levels

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
pySpark
Data Lake Storage
Cosmos DB
PostgreSQL
SQL
Python
Bash
Unix
Windows
Azure MI
Analysis Services
Informix
Elasticsearch
Docker
Kubernetes
Delta Lake
Delta Lakehouse
Data Mesh
Data Vault

Company overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

Nice-to-have skills

Elasticsearch experience
Docker and Kubernetes familiarity
Performance tuning and pipeline optimization expertise
Azure, Databricks, or relevant cloud certifications

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