Lead AI/ML Platform Engineer (Remote)

Envestnet; United States; Remote; USD 152,000 - 190,000; Full time

Job summary

Envestnet seeks a Lead Engineer to drive scalable, secure platforms supporting wealth management, financial data aggregation, and advisor-driven technology solutions.

You will architect and implement AI-enabled capabilities, scale reporting solutions, and lead cross-team technical decisions across AWS, Kubernetes, and modern data technologies. A strong background in .NET/Python, REST, and cloud paradigms is required.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; master’s preferred.
• Strong technical background with .NET, xUnit, RESTful APIs, and API management such as Apigee.
• Experience with PostgreSQL, SQL Server, Redis, and ElastiCache.
• Experience with AWS services including EC2, S3, ELB, ASG, API Gateway, Lambda, RDS, EKS, CloudWatch, SQS.
• Experience with Kubernetes, Docker, Kafka, CloudFormation, CDK, Terraform, DevOps practices, agile delivery, Scrum, and TDD.
• 2+ years designing, delivering, or integrating production-grade AI/ML systems, LLM-based apps, AI platform capabilities, agentic workflows.
• Experience with Python-based AI/ML application support, enhancement, reliability, scalability.
• Strong knowledge of AI cost control, governance, LLM integration patterns, and stateful agents.

Responsibilities

• Architects and designs systems, services, or platforms with broad impact.
• Leads technical decision-making for major features or initiatives.
• Breaks down complex problems into scalable and maintainable solutions.
• Drives cross-team collaboration and align technical solutions with business goals.
• Establishes and enforces best practices in architecture, coding, and deployment.
• Mentors engineers across multiple levels and contribute to talent development.
• Anticipates technical risks and proactively implement mitigation strategies.
• Leads incident response and root cause analysis for critical issues.
• Influences roadmap planning through technical insight and feasibility analysis.
• Partners with DevOps/SRE to improve system reliability, deployment automation, and observability.
• Designs and maintains CI/CD pipelines for owned services, improving deployment speed and safety.
• Implements infrastructure-aware design decisions (scalability, failover, resiliency, cost).
• Leads the design and delivery of scalable reporting solutions, leveraging Java and/or Python, cloud infrastructure, RESTful APIs, event-driven architectures, and SQL/NoSQL technologies.
• Specializes in AI/ML integration, LLM-based capabilities, and AI platform engineering, including production AI/ML applications.
• Utilizes agentic coding tools and AI-enabled development practices to accelerate feature delivery and SDLC execution.
• Partners with business, product, and quality engineering stakeholders to translate complex requirements into robust, maintainable solutions.

Skills

.NET

xUnit

RESTful APIs

API management

Apigee

PostgreSQL

SQL Server

Redis

ElastiCache

AWS

EC2

S3

Lambda

RDS

EKS

CloudWatch

SQS

Kubernetes

Docker

Kafka

CloudFormation

CDK

Terraform

DevOps

Agile

Scrum

TDD

Python

AI/ML

LLM

Claude Code

GitHub Copilot

Education

Bachelor’s degree

Tools

Apigee

Job description

Envestnet seeks a Lead Engineer to drive scalable, secure platforms supporting wealth management, financial data aggregation, and advisor-driven technology solutions.

You will architect and implement AI-enabled capabilities, scale reporting solutions, and lead cross-team technical decisions across AWS, Kubernetes, and modern data technologies. A strong background in .NET/Python, REST, and cloud paradigms is required.