Immediate Hiring::Direct Client::Principal AI Engineer::ONSITE ROLE

Job Title Principal AI Engineer ONSITE ROLE 
Location: Covington, KY
Duration: Long term 

Job Description:
Years of experience: Bachelor's degree or equivalent experience with 8+ years of software engineering experience
Great Overview:
As an early member of this organization, you will play a key role in shaping technical strategy, establishing engineering best practices, and delivering AI-powered solutions from concept through production. Beyond hands-on development, you will serve as a technical leader and trusted advisor, mentoring engineers, elevating technical capabilities across teams, and driving excellence in architecture, design, and execution.
This position offers the opportunity to work directly with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI capabilities that drive measurable business outcomes. You will influence technology decisions, guide solution design, foster engineering standards, and help cultivate a high-performance engineering culture.
This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation. Successful candidates will possess the technical depth to architect and build complex solutions while also providing technical leadership, coaching and developing fellow engineers, and partnering closely with business stakeholders to translate emerging AI capabilities into practical, scalable applications. The ideal candidate leads through influence, inspires technical excellence, and drives initiatives from vision through successful delivery.
Top 3 Skills:
 1. AI & LLM Engineering
OpenAI, Claude, Gemini, Bedrock
LangChain, LangGraph, CrewAI
Python
AI Agents, RAG, Prompt Engineering, Workflow Automation

2. Data Engineering & AI Data Foundations
Snowflake, Databricks
Data Pipelines, ETL/ELT
Pinecone, Weaviate, Chroma
Semantic Search, Knowledge Retrieval, Enterprise Data Architecture

3. Cloud Architecture, Scale & Security
AWS, Azure
Docker, Kubernetes
Terraform
Cloud-Native Platforms, Microservices, Security, Scalability

This is a unique Greenfield opportunity to help build a brand-new AI engineering organization focused on delivering innovative AI solutions that enhance the advisor and client experience across Fidelity Wealth.
The team's mission is to leverage artificial intelligence, automation, advanced analytics, and large language models (LLMs) to tackle real business problems, streamline advisor workflows, reduce administrative overhead, and help advisors spend more time delivering value to clients.

The Expertise You Bring
As an early member of this organization, you will play a key role in shaping technical direction, influencing engineering best practices, and delivering AI-powered solutions from concept through production. This position offers the opportunity to work directly with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI capabilities that drive measurable business outcomes.
This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation. Successful candidates will possess the technical depth to architect and build complex solutions while also working closely with business stakeholders to translate emerging AI capabilities into practical applications.

Example Use Cases
Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:
Automated meeting preparation and research
Intelligent call summarization and insight generation
Automated follow-up and workflow orchestration
Knowledge retrieval and recommendation systems
AI-assisted decision support and productivity tools
Workflow automation leveraging enterprise data sources and communication channels

The Skills You Bring
Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.
Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).
Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.
Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.
Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.
Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.
Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.
Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.

With Regards

Kotesh
Direct: /
Desk#: EXT 174
HCL Global Systems, Inc