Finance Ai

Finance Ai Engineer Jobs

3 jobs found

Today

Embedded AI Engineer - Finance

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

Today

Full time Agentic Ai Ai Engineer Analytics

Apply Now

Job Description

The Embedded AI Engineer will act as the dedicated AI partner for the Finance organization, translating finance needs into AI-powered solutions that support planning, forecasting, reporting, and day-to-day decision-making. The role collaborates closely with Finance, FP&A, and business leaders to expand AI adoption and improve finance workflows.

Responsibilities

Work directly with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows.
Find and rank use cases where AI can strengthen financial analysis, operational efficiency, and decision support.
Develop and deploy AI-powered automations, including RAG applications, agents, copilots, and internal productivity tools.
Build solutions that streamline financial reporting, forecasting, cost analysis, and capital approval processes.
Partner with Data Engineering and AI teams to support enterprise-scale platforms and shared data initiatives.
Create tools that increase visibility into spend, capital deployment, project economics, and business performance.
Support stakeholder enablement by coaching effective use of Microsoft Copilot, Claude, ChatGPT, and other AI technologies.
Track adoption, solution quality, and business outcomes to continuously improve delivered capabilities.
Reduce manual work through workflow automation and intelligent reporting capabilities.
Identify AI use cases that can scale beyond one team and be applied across multiple business functions.

Requirements

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 building software, analytics, automation, data, or AI-based solutions.
Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows.
Strong proficiency in Python.
Working knowledge of SQL and experience working with structured datasets.
Ability to move 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.
Interest in learning complex financial and business processes.

Technologies

Python
SQL
LLMs
RAG
Microsoft Copilot
Claude
ChatGPT
AI agents

Preferred Qualifications

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.

Key Competencies

Financial Process Optimization: Improves efficiency, accuracy, and scalability of finance operations through technology.
AI Solution Development: Designs and delivers AI-powered solutions with measurable business value.
Business Partnership: Builds trusted relationships with finance and operational stakeholders.
Data-Driven Decision Making: Uses data, analytics, and AI to deliver actionable insights.
Automation & Innovation: Identifies opportunities to remove manual effort and improve productivity.
Communication & Influence: Explains technical concepts clearly and drives adoption across stakeholder groups.
Learning Agility: Rapidly develops expertise in financial processes, technologies, and business domains.

Location and Role Context

Dallas, TX (remote). The role is focused on delivering embedded AI capabilities specifically for the Finance organization.

View full job page →

1d ago

Sr AI Engineer I

American Express Phoenix, AZ

Phoenix, AZ

1d ago

$123k - $215k/yr Full time Senior Agentic Ai Agentic Ai Orchestration

Apply Now

Job Description

American Express is seeking a Sr AI Engineer I based in Phoenix, AZ (onsite) to help build agentic AI systems and platforms designed to run responsibly and at scale within financial services. The role centers on engineering intelligent solutions for complex workflows, with clear attention to security, reliability, and compliance.

Key Responsibilities

Collaborate with product, design, and business stakeholders to deliver agentic capabilities that reduce operational friction, support improved decision-making, and enhance how customers interact, transact, and grow.
Design agentic AI systems that are intelligent and adaptive, with the ability to plan, reason, and act across complex workflows while matching appropriate autonomy levels.
Develop systems that enable autonomous workflows, decision support, and customer-facing experiences, meeting high expectations for security, explainability, reliability, and compliance in a regulated financial context.

Required Qualifications

6+ years of software engineering experience, including meaningful production experience using LLMs or applied ML systems.
Proven track record shipping AI-powered or agentic systems used by real customers or users.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Sound ownership and technical judgment.
Ability to work effectively in ambiguous situations and turn that uncertainty into shipped, reliable product outcomes.
Strong product mindset and customer orientation.
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems within regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.

Preferred Qualifications

Additional experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.

Role Location and Compensation

Location: Phoenix, AZ (onsite)
Compensation: USD 123,000 - 215,250 per year

View full job page →

3d ago

Senior AI Engineer

David Joseph & Company New York, NY

New York, NY

3d ago

$170k - $220k/yr Full time Backend Developer Senior Agentic Ai

Apply Now

Job Description

The Senior AI Engineer role at David Joseph & Company focuses on delivering production-grade AI agent systems for the CFO office workflow. The position is backend-heavy (with full-stack responsibilities in practice) and spans context engineering, prompt design, tool use, evaluations, guardrails, and user experience aligned with finance stakeholders.

Role Scope

Own a finance domain end to end, guiding development from context engineering and prompt design through tool integration, evaluation workflows, safety guardrails, and UX for the resulting systems. This role also emphasizes replacing manual finance activities with AI agent capabilities used directly within CFO office processes.

Key Responsibilities

Lead finance domain delivery end to end, covering context engineering, prompt design, tool use, evaluations, guardrails, and the UX surrounding those components
Partner with controllers, accountants, and CFOs to transition manual processes to production-grade agent systems

Required Qualifications

2+ years building and shipping production AI agents
4+ years of backend or infrastructure engineering experience
Research background in ML, NLP, or AI agents
Early-stage startup experience (pre-seed to Series B)
Ability to work on-site in NYC, six days per week during startup hours

Technology

Python

Preferred Qualifications

Strong track record in agentic-systems delivery
Additional research background in ML, NLP, or agents
Graduated post-2021 with direct agentic-era experience
Background in fintech, ERP, or accounting software

Location and Work Details

Location: New York City, NY (onsite)
Work policy: On-site, 6 days/week (startup hours)

Compensation and Employment Type

Salary: USD 170,000 to 220,000 per year
Equity: 0.1%–0.35%
Employment type: Full-time
Visa sponsorship: Not available

View full job page →

Finance Ai Engineer Jobs

Embedded AI Engineer - Finance

Sr AI Engineer I

Senior AI Engineer

Get Finance Ai Engineer Jobs alerts