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Agentic Ai Finance Jobs

2 jobs found

30d ago

Embedded AI Engineer - Finance

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

30d ago Closed

Full time Agentic Ai Ai Engineer Analytics

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Gigapower is building a dedicated AI capability for the Finance organization, and this Embedded AI Engineer role is the bridge between advanced AI delivery and real finance workflows. You will help improve how finance teams plan, forecast, report, and make decisions by bringing AI-powered automations, retrieval-augmented generation (RAG), and agent-style tools directly into day-to-day processes. This position is based in Dallas, TX (remote).

What You’ll Do

Work directly with Finance, FP&A, and business leaders to understand budgeting, forecasting, capital planning, reporting, and approval workflows.
Spot and rank high-impact opportunities where AI can enhance financial analysis, increase operational efficiency, and support better decision-making.
Design, build, and deploy AI-powered solutions including automations, RAG applications, agents, copilots, and internal productivity tools.
Deliver tools that streamline financial reporting, forecasting, cost analysis, and capital approval processes to reduce manual effort.
Partner with Data Engineering and AI teams to support enterprise-scale platforms and shared data initiatives.
Create solutions that improve visibility into spend, capital deployment, project economics, and business performance.
Coach stakeholders on using Microsoft Copilot, Claude, ChatGPT, and other AI technologies effectively.
Track adoption, quality, and business outcomes, then iterate to continuously improve delivered solutions.
Identify scalable AI use cases that can be implemented across multiple business functions.

What You Bring

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Finance, or a related discipline, or equivalent experience.
1 to 3 years of experience developing software, analytics, automation, data, or AI-based solutions.
Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows.
Strong Python proficiency.
Working knowledge of SQL and experience working with structured datasets.
Ability to take solutions from concept through deployment and user adoption.
Strong communication and stakeholder management skills.
Self-starter mindset with comfort operating in fast-paced, ambiguous environments.
Strong analytical, problem-solving, and critical-thinking skills.
Enthusiasm for learning complex financial and business processes.

Preferred

Experience in corporate finance, FP&A, capital planning, financial analytics, or infrastructure cost estimation.
Experience supporting telecommunications, construction, utilities, infrastructure, or capital-intensive industries.
Experience with Azure, Snowflake, cloud analytics platforms, or modern data environments.
Experience with change management, user enablement, training, or technology adoption initiatives.

Technologies You’ll Use

Python, SQL, LLMs, RAG
Microsoft Copilot, Claude, ChatGPT
AI agents

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1mo ago

AI Engineer - GenAI / Agentic Systems - Financial Services

Infosys Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$117k - $148k/yr Full time Agentic Ai AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Infosys is seeking an AI Engineer for GenAI and agentic systems in financial services, onsite in Basking Ridge, NJ, with a salary ranging from USD 116,875 to 148,125 per year.

Responsibilities

Collaborate with banking and financial services stakeholders to identify the problem statement and participate in or lead solution design, including mapping the day in the life of an advisor and identifying critical manual flows for potential solutions.
Serve as Product Manager or Product Owner, working with architects and business SMEs to develop business requirements and AI solutions.
Design and implement GenAI solutions using LLMs such as Claude and OpenAI to address objectives like improving advisor productivity and enhancing operations in Corporate Actions, Portfolio Management, AML/KYC processes.
Construct agent-based workflows with frameworks including LangChain and Google ADK or comparable tools.
Develop RAG pipelines, semantic search, and knowledge-driven applications.
Apply prompt engineering, establish evaluation frameworks, and implement guardrails.
Test and validate final solutions to ensure alignment with business problems and optimize AI models and pipelines.
Coordinate with business and technology stakeholders to deliver the program.

Requirements

Experience in the financial services industry (capital markets or banking) with familiarity across front, middle, and back office operations or processes.
Understanding of the end-to-end value chain (wealth management, asset management, investment banking, etc.).
Experience defining AI-related KPIs and building a business case for AI adoption.
Proficiency in Python-based AI/ML development.
Solid understanding of LLMs and GenAI architectures.
Prompt engineering and chaining techniques.
Data processing and pipeline development.
Experience with Graph RAG and hands-on use of LangChain or similar frameworks.
Hands-on experience with Claude, OpenAI, or other LLM APIs in Graph RAG contexts.
Working knowledge of vector databases, embeddings, and semantic search.
Working knowledge of API integrations and microservices.

Technologies

Python
LangChain
Google ADK
Claude
OpenAI
Azure
AWS
GCP
Knowledge graphs
Vector databases
Embeddings
Semantic search
API integrations
Microservices

Benefits

Medical, Dental, Vision, and Life Insurance
Long-term and Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
401(k) plan with employer contributions based on salary
Paid holidays plus Paid Time Off

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Agentic Ai Finance Jobs

Embedded AI Engineer - Finance

AI Engineer - GenAI / Agentic Systems - Financial Services

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