Overview
On Site
53.56/hr - 60.35/hr
Full Time
Skills
Financial Services
Finance
Use Cases
Software Development
Vertex
Python
Java
Data Governance
Conflict Resolution
Problem Solving
Communication
Collaboration
Prompt Engineering
Orchestration
LangChain
React.js
Real-time
FOCUS
Time Series
Apache Kafka
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Ruby on Rails
Generative Artificial Intelligence (AI)
Google Cloud Platform
Google Cloud
Cloud Computing
Microservices
Software Engineering
Streaming
Health Care
Artificial Intelligence
Optimization
Cost Control
Performance Tuning
Job Details
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an AI Engineer, Conversational & Agentic AI(Google Cloud Platform) in Chandler, AZ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 24 Months
We are looking for an AI Engineer with experience in building and integrating Conversational AI and Generative AI solutions on Google Cloud Platform (Google Cloud Platform). You will work on implementing agentic AI systems, multi-agent orchestration, and real-time event-driven architectures that power intelligent conversational experiences for enterprise and regulated industry use cases.
This role is ideal for an engineer who enjoys hands-on development and wants to grow expertise in advanced GenAI, orchestration frameworks, and responsible AI practices.
Required Skills & Experience
What You Will Be Doing
Preferred Qualifications:
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 24 Months
We are looking for an AI Engineer with experience in building and integrating Conversational AI and Generative AI solutions on Google Cloud Platform (Google Cloud Platform). You will work on implementing agentic AI systems, multi-agent orchestration, and real-time event-driven architectures that power intelligent conversational experiences for enterprise and regulated industry use cases.
This role is ideal for an engineer who enjoys hands-on development and wants to grow expertise in advanced GenAI, orchestration frameworks, and responsible AI practices.
Required Skills & Experience
- 4+ years of experience in AI/ML engineering, software development, or cloud-based solutions.
- Hands-on experience with Generative AI, LLMs, or Conversational AI.
- Working knowledge of LangChain, LangGraph, or similar orchestration frameworks.
- Familiarity with Google Cloud Platform services - Vertex AI, BigTable, Pub/Sub, AlloyDB, Cloud Functions.
- Experience with MLOps pipelines, model deployment, and monitoring.
- Basic understanding of hallucination control, RAG, and guardrail mechanisms.
- Strong coding skills in Python (Go or Java is a plus).
- Good understanding of Responsible AI and data governance concepts.
- Excellent problem-solving and communication skills, with a willingness to learn and collaborate.
What You Will Be Doing
- Google Cloud Platform Conversational Agent platform with Playbooks and tooling, connectors and data sources and prompt engineering
- Agentic AI
- Complex orchestration with Multiple GenAI Agents using LangGraph , LangChain (with ReACT ) and LLM tooling
- Using massive scale, low latency, real time architecture implementations: Focus on eventing and extending conversational context (Big Table, Time series, Pub/sub or Kafka
- ML framework and MLOps experience
- Proven experience in combating hallucination running all the time (not just 1 time exercise),
- Implementation of guard rails, supervisor and observability with explanation/transparency for GenAI
- Responsible AI (RAI) Implementation at scale for regulated industries like Fintech
- Cost Optimization of GenAI solutions with hybrid solutions (deterministic versus probabilistic)
- Integration with Google Cloud Platform Cloud native Microservice, event driven technology stack ( Big Table, pub/sub. alloyDB)
- Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
Preferred Qualifications:
- Experience working on event-driven systems or streaming data architectures.
- Exposure to fintech, healthcare, or regulated industry AI applications.
- Knowledge of LLM optimization, cost control, and prompt performance tuning.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.