Jobs in the United States

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Added 58 mins ago
Sr. OT/AVEVA PI Engineer
INSPYR Solutions
Houston, TX
This is not a traditional Data Engineer or software development position. The priority is someone who understands OT systems, PI Historian data, and Oil & Gas operations, with enough…
Added 59 mins ago
Industrial Maintenance Reliability Technician
Sonoco Products Company
Hartselle, AL
Reporting to the Plant Engineer, the Senior Industrial Maintenance Reliability Technician (IMRT) is responsible for supporting the achievement of maximum plant reliability by performing…
Added 1 hour ago
Lab Services Admin
Hewlett Packard Enterprise
Sunnyvale, CA
Added 1 hour ago
Sr. Systems Engineer
ARSIEM
Columbia, MD
ARSIEM is seeking a Senior Systems Engineer to provide strategic systems engineering, technical governance, and enterprise integration support for PAE JCWA (Joint Cyber Warfare…
Added 2 hours ago
Sr Project Engineer - I&E
Methanex
Geismar, LA
The Senior Project Engineer – I&E facilitates the development of a portfolio of capital and OPEX projects for the Geismar site. During the development of projects, they will perform…
Added 3 hours ago
Sr. Infrastructure Design Engineer
NC Health Affiliates LLC DBA Blue Cross NC
United States
…might include network, compute, storage, platform, middleware, database and telephony. Independently analyze current and future requirements to effectively design data center…
Added 4 hours ago
Staff Software Engineer
HOME DEPOT MANAGEMENT COMPANY, LLC
United States
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be…
Added 4 hours ago
Sr. Software Development Engineer - S3, S3 Storage Control Plane - Durability
Amazon.com Services LLC
Seattle, WA
…get stuff delivered to your home. As a Software Development Engineer in S3, you get to deliver these capabilities and delight our customers through teams of talented engineers and…
Added 4 hours ago
Staff Software Engineer
The Home Depot
Atlanta, GA
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be…
Added 5 hours ago
M
Sr Cybersecurity Production Support Engineer (IAM & Splunk) NJ/TX
ManpowerGroup
Pennington, NJ
- $70 to $73 USD / hour
Our client, a leading financial services organization, is seeking a Sr Cybersecurity Production Support Engineer (IAM & Splunk) NJ/TX to join their team. As a Sr Cybersecurity Production…
Added 5 hours ago
Sr. Lead Application Developer
ADP
Roseland, NJ
ADP Innovation Labs is looking for a Sr. Lead Software Engineer with extensive NodeJS experience to join an emerging team.
Added 5 hours ago
Sr Software Engineer
Comcast (CC) of Willow Grove
VA
As a Software Engineer 4, you lead the design, development, and delivery of scalable, high-impact software systems. You are recognized as a technical leader who drives architectural…
Added 5 hours ago
MB
Assistant Project Manager I
Massachusetts Bay Transportation Authority
Boston, MA
- $77,490.81 USD / year
To assist and support the Project Manager in coordinating with the Resident Engineer and other Project Office members for all design phase and construction-phase activities as directed.…
Added 6 hours ago
Sr Product Development Engineer
Bryce Corporation
Searcy, AR
…of current status of each project and to compile knowledge database for future…
Added 7 hours ago
Sr. Process Automation Engineer
Columbia Bank
Fair Lawn, NJ
Why this role Matters: The Sr. Process Automation Engineer will be responsible for all aspects of the development life cycle including architecture, requirements gathering, development,…
Added 7 hours ago
Senior Data Engineer Architect
J H FINDORFF & SON INC
MILWAUKEE, WI
…years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data…
Added 7 hours ago
IT Cybersecurity Analyst Identity and
WEC ENERGY GROUP INC
MILWAUKEE, WI
…an experienced Identity and Access Management (IAM) Security Engineer in our Milwaukee, Green Bay, or Chicago locations. This position offers flexibility for a hybrid work arrangement…
Added 8 hours ago
Senior Software Engineer - Workday Payroll (Remote)
Home Depot
Atlanta, GA
The Sr. Software Engineer, Workday Payroll is responsible for independently designing, developing, configuring, and continuously enhancing Workday Payroll solutions to meet evolving…
Added 8 hours ago
Engineer Lead Sr.
Elevance Health
Atlanta, GA
The Engineer Lead Sr. i s responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms.
Added 12 hours ago
Sentinel Principal/ Sr. Principal Systems Engineer
Northrop Grumman
Huntsville, AL
Northrop Grumman Defense Systems currently has an opening for a Principal Systems Engineer/Sr. Principal Systems Engineer . This position is located in Roy, UT and will support the Sentinel…
Added 12 hours ago
Sr. Engineer, Aerodynamics
Virgin Galactic
Tustin, CA
Virgin Galactic is seeking a Senior Aerodynamics and Flight Simulation Engineer with strong experience in flight dynamics modeling, trajectory simulation, and stability and control…
Added 12 hours ago
DATA ENGINEERING SR MANAGER
Dollar General
Goodlettsville, TN
Hands-on experience with SQL database design.
Added 16 hours ago
Info Technology Architect (Cloud Engineer)
Driver Services, Department of
United States
Info Technology Architect (Cloud Engineer)Agency:
Added 17 hours ago
Systems Engineering Sr. Associate
Salesforce, Inc.
TX · IN
We are seeking a highly skilled and experienced Engineer with expertise in Workday Human Capital Management (HCM) to join our dynamic team. This is a hybrid role where one would spend time…
Added 19 hours ago
AE
Sr Software Engineer I - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
We are looking for a Senior Engineer I to help design, build and operate the enterprise integration and event-driven platforms that connect American Express systems at scale. This is a…

Dayforce

Forward Deployed AI Engineer Sr - Analytics

United States

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Job details

Posting language: English
Posted: Oct 25, 2026

Original job description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

About the opportunity

We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical, trustworthy AI solutions. This hands-on role helps move the organization beyond static dashboards toward conversational analytics, intelligent insights, and AI-enabled decision support.

As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the needs of each use case. You will prototype, validate, deploy, and improve solutions in partnership with the Enterprise AI Platform, Decision Intelligence, Data Engineering, Architecture, and Governance teams. Success is measured by user trust, adoption, and measurable business value.

What you’ll get to do

Forward Deployed AI Engineering

Partner directly with analytics and business teams to understand decisions, workflows, pain points, and analytical questions that AI can help address.
Translate business needs into clear technical requirements, solution designs, prototypes, and production-ready AI experiences.
Independently deliver assigned AI use cases from discovery through user validation, deployment, and ongoing improvement, escalating material architecture, security, or platform decisions when needed.
Use feedback and usage data to improve solution accuracy, relevance, reliability, and adoption.
Recommend simpler alternatives, including BI, analytics, automation, or workflow improvements, when AI is not the best fit.

AI-Powered and Conversational Analytics

Build conversational analytics experiences that allow authorized users to ask natural-language questions of trusted enterprise data.
Develop AI assistants and agentic workflows that retrieve business context, query governed analytical data, interpret results, and provide understandable responses.
Build capabilities that identify trends, anomalies, risks, opportunities, and recommended actions under established business and technical guardrails.
Integrate AI-generated insights into existing analytics tools, applications, and workflows so they are available where decisions are made.
Apply judgment to determine when predictive analytics, generative AI, agents, or a combination of approaches is appropriate.

Enterprise Context and Semantic Intelligence

Use semantic models, business definitions, metrics, metadata, and relationships to ground AI solutions in trusted enterprise context.
Implement retrieval and context patterns across structured data, documents, knowledge bases, and approved enterprise information sources.
Work with data architects, governance specialists, and analytics teams to identify gaps in data quality, semantic clarity, lineage, or access that affect AI reliability.
Ensure AI responses can be traced to appropriate enterprise data sources and business definitions when required.

Agentic Analytics Engineering

Develop AI agents and workflows using approved orchestration frameworks, enterprise AI services, APIs, and data platforms.
Implement tool calling, retrieval-augmented generation, vector or semantic retrieval, and secure API or MCP integrations using established enterprise patterns.
Enable agents to interact securely with semantic models, datasets, knowledge sources, and enterprise services within a user’s authorized access.
Apply appropriate human review and approval controls for high-impact insights, recommendations, and actions.

Prototype to Production Delivery

Rapidly build and test prototypes to validate user value, feasibility, and trust before broader investment.
Define and measure practical success criteria such as response quality, adoption, productivity, decision cycle time, or business impact.
Engineer approved solutions for production reliability, scalability, security, observability, and supportability using enterprise standards.
Develop automated tests and evaluation scenarios for AI-generated responses, including analytical accuracy, grounding, and relevance.
Monitor solution performance, latency, cost, failures, feedback, and adoption; diagnose issues and implement improvements within established support practices.

Governance and Platform Partnership

Use enterprise-approved models, platforms, security patterns, connectors, and reusable components rather than creating isolated point solutions.
Apply established Responsible AI, privacy, security, data governance, identity, and authorization requirements throughout solution delivery.
Partner with Enterprise AI Platform, Security, Privacy, Legal, and Data Governance teams to address exceptions, risks, and complex integration needs.
Document reusable implementation patterns and provide feedback from deployments to improve shared platform capabilities and standards.
Communicate technical options, tradeoffs, progress, and risks clearly to technical and business partners; advise stakeholders on difficult implementation matters within the role’s area of expertise.

Skills and experience we value

Typically 5 or more years of related experience with a Bachelor’s degree, 3 or more years with a Master’s degree, or equivalent practical experience in software engineering, data engineering, analytics engineering, AI or ML engineering, data science, or a related field.
Hands-on experience building and deploying production data, analytics, AI, or Generative AI solutions.
Strong Python, SQL, and software engineering skills, including APIs, testing, version control, and CI/CD practices.
Working knowledge of LLMs, retrieval-augmented generation, AI agents, tool calling, embeddings, vector search, semantic retrieval, and enterprise knowledge integration.
Experience with one or more enterprise AI services or platforms such as Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic, or comparable technologies.
Experience working with analytical data platforms, warehouses or lakehouses, semantic models, APIs, and BI technologies such as Microsoft Fabric, Power BI, Databricks, Snowflake, or equivalent.
Understanding of semantic and dimensional modeling, business metrics, metadata, data quality, lineage, and governed data access.
Experience applying authentication, authorization, RBAC, identity propagation, and secure access practices to AI or data solutions.
Understanding of LLMOps or MLOps concepts, including deployment, evaluation, monitoring, observability, and production support.
Ability to work independently through diverse technical problems, adapt established approaches when appropriate, and seek guidance at key decision points.
Strong communication and collaboration skills, including the ability to work effectively with senior business and technical stakeholders.

What would make you stand out

You have taken an AI or analytics solution from business discovery through prototype, user testing, production deployment, and adoption.
You can work comfortably with both business stakeholders and technical teams, translating between decisions, data, and implementation details.
You have built conversational analytics or AI-enabled decision support on top of governed enterprise data.
You understand why semantic context, data quality, lineage, and access controls are essential to trustworthy enterprise AI.
You are pragmatic about using the simplest technology that solves the business problem and can explain tradeoffs clearly.
You share lessons learned and reusable patterns that help other teams deliver AI solutions more effectively.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match). Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

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