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The Cloud Data & AI Platform Engineer is a hands-on technical role responsible for designing, building, and operating advanced data and AI orchestration capabilities within Southern Nuclears Azure/Databricks-based Lakehouse environment. Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Rezult Group will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Rezult Group continues to make great strides toward enhancing the technology services community nationwide. We are consistently looking for qualified professionals to join us in achieving success. Currently we are searching for a Cloud Data & AI Platform Engineer, to fulfill an immediate full-time vacancy.   This is a 6+ month contract based in Birmingham, AL. Must be local and willing to report onsite in Birmingham, AL .No sponsorship provided. Applicants must be US Citizens or Green Card holders NOT requiring sponsorship now or ever in the future.   Role Overview <ul><li>The Cloud Data & AI Platform Engineer is a hands-on technical role responsible for designing, building, and operating advanced data and AI orchestration capabilities within Southern Nuclears Azure/Databricks-based Lakehouse environment. This role focuses on enabling reliable, governed, and auditable automation of data and analytics workflows using Azure Databricks and related Azure services. </li><li>The position supports the SNC Lakehouse by developing orchestration frameworks, AI-enabled processing pipelines, and integration services that extend beyond traditional ETL, while remaining compliant with regulatory, security, and cost-management standards expected in a nuclear operating environment. </li><li>This role partners closely with data engineering, analytics, and application teams to ensure that AI-enabled solutions are production-ready, maintainable, and aligned with enterprise architecture standards. </li></ul> Key Responsibilities Data & AI Orchestration Engineering <ul><li>Design and implement reusable orchestration frameworks in Python to manage multi-step analytics, data quality checks, and AI-assisted workflows. </li><li>Develop controlled agent-based or task-specialized components to support activities such as data validation, metadata enrichment, code generation assistance, and operational diagnostics. </li><li>Ensure orchestration logic is deterministic, testable, and suitable for regulated production environments. </li></ul> Azure Databricks Platform Integration <ul><li>Deploy and operate orchestration and AI-enabled workloads within Azure Databricks, leveraging: Delta Lake and Medallion Architecture (Bronze/Silver/Gold) </li><li>Databricks Workflows and Jobs </li><li>Unity Catalog for data governance and access control </li><li>Partner with Lakehouse platform leads to align solutions with SNC architectural standards. </li></ul> System & API Integration <ul><li>Design and implement secure integration patterns with internal SNC applications and approved external vendor systems. </li><li>Ensure integrations follow enterprise security, identity, and data-handling requirements, including auditability and least-privilege access. </li></ul> Performance, Cost, and Reliability Management <ul><li>Monitor and optimize Spark workloads, orchestration processes, and AI service calls to ensure efficient resource utilization. </li><li>Apply cost-awareness principles consistent with Southern Company AR/CO and cloud financial management expectations. </li><li>Build solutions that can scale to intermittent high-volume workloads while remaining operationally stable. </li></ul> Technical Leadership & Standards <ul><li>Contribute to architectural guidance, design reviews, and technical standards for data and AI solutions in the Lakehouse. </li><li>Ensure solutions are modular, maintainable, and aligned with long-term platform strategy. </li><li>Provide clear documentation and handoff materials to support ongoing operations and support teams. </li></ul>   Technical Qualifications Core Technical Skills <ul><li>Python: Advanced proficiency, including object-oriented design and asynchronous or event-driven patterns. </li><li>Data Engineering: Strong experience with PySpark, Delta Lake, and enterprise data lake architectures. </li><li>Azure Platform: Practical experience with Azure services such as: Azure Databricks, Azure Functions and/or Logic Apps, Azure Container-based services (as applicable) </li><li>AI Enablement: Experience implementing AI-assisted or LLM-enabled workflows using structured orchestration patterns (e.g., task-based agents, supervisor/worker models). </li></ul> Platform & DevOps <ul><li>Experience with CI/CD pipelines using GitHub Actions or Azure DevOps. </li><li>Familiarity with infrastructure-as-code or environment configuration management in Azure. </li><li>Strong understanding of secure development practices in regulated environments. </li></ul> Professional Experience <ul><li>5+ years of experience in software engineering, cloud platform engineering, or data engineering roles. </li><li>Demonstrated experience delivering production-grade data or analytics solutions in an enterprise environment. </li><li>Experience in the energy, utilities, nuclear, or other highly regulated industries is strongly preferred. </li><li>Exposure to handling sensitive operational, telemetry, or regulatory data is a plus. </li></ul> Performance & Operating Expectations <ul><li>Accuracy & Auditability: Solutions must be reliable, traceable, and verifiable to support regulatory and operational requirements. </li><li>Scalability & Resilience: Designs must tolerate variable workload patterns without manual intervention. </li><li>Documentation & Standards Compliance: Code adheres to PEP 8 and Southern Company development standards.  Comprehensive docstrings, READMEs, and architectural artifacts are required. </li></ul> Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Rezult Group will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)   If your background, skills, and interest match the following; please apply online to ensure your credentials are reviewed by a skilled recruiter immediately. We look forward to working with you on this opportunity. For more information on Rezult and a list of additional job openings, please visit our website at www.rezultgroup.com.

Rezult Group

Cloud Data & AI Platform Engineer

Access Control

Accounts Receivable

Application Programming Interface (API)

Architectural Services

Artificial Intelligence (AI)

Automation

Cisco Unity

Cloud Computing

Configuration Management

Continuous Deployment/Delivery

Continuous Integration

Cost Control

Data Analysis

Data Lake

Data Quality

Database Extract Transform and Load (ETL)

DevOps

Documentation

Documentation Standards

Energy & Utilities

Enterprise Architecture

Enterprise Protection

Financial Management

GitHub

Metadata

Microsoft Windows Azure

Object Oriented Design (OOD)

Operational Support

Production Systems

Python Programming/Scripting Language

Regulations

Regulatory Compliance

Resource Utilization

Security Compliance

Software Engineering

System Integration (SI)

Technical Leadership

Technical/Engineering Design

Telemetry

Workflow Analysis

HaleyMarketing

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This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver production‑grade solutions. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team.

YEAR

<div>When you join the team at Unum, you become part of an organization committed to helping you thrive.Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: <ul><li>Award-winning culture </li><li>Inclusion and diversity as a priority </li><li>Performance Based Incentive Plans</li><li>Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability </li><li>Generous PTO (including paid time to volunteer!) </li><li>Up to 9.5% 401(k) employer contribution </li><li>Mental health support </li><li>Career advancement opportunities </li><li>Student loan repayment options </li><li>Tuition reimbursement</li><li>Flexible work environments </li></ul><h3>*All the benefits listed above are subject to the terms of their individual Plans.</h3>And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! <h2>General Summary:</h2>We’re looking for a Senior Data Scientist passionate about using AI, ML, and LLMs to transform how organizations understand and optimize their workforce. This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver production‑grade solutions. You’ll architect intelligent systems—not just models—translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own end‑to‑end solutions, and want to influence talent strategy, organizational design, and employee experience, we’d love to talk.<h2>Job Specifications</h2><div><ul><li>Bachelor’s degree in a quantitative field required; advanced degree preferred.</li><li>Minimum of 6 years of relevant analytical or data science experience.</li><li>Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).</li><li>Advanced SQL and data modeling experience across complex data environments.</li><li>Proven ability to independently manage multiple initiatives and provide direction to others.</li><li>Strong written and verbal communication skills.</li><li>Experience working in regulated or complex operational environments preferred.</li><li>Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.</li></ul><div><h2>Technical Specifications</h2><ul><li>Hands-on experience with modern AI approaches (LLMs, embeddings, RAG, etc.) Vector databases (e.g., FAISS, Chroma) and RAG architectures</li><li>GitHub (including GitHub Copilot)</li><li>Web app frameworks (e.g., Streamlit, Dash, FastAPI) for building analytics products</li></ul><h2>Primary Responsibilities</h2><ul><li>Lead the development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.</li><li>Apply domain and business expertise to translate complex problems into well-defined analytical approaches and scalable solutions.</li><li>Design and oversee end-to-end data science workflows, including data extraction, validation, modeling, deployment, and performance monitoring.</li><li>Integrate data from multiple internal and external sources to produce modeling-ready datasets and reusable data assets.</li><li>Build predictive and prescriptive models to explain outcomes, forecast behavior, and identify risk or opportunity.</li><li>Play a lead role in embedding analytics and AI solutions into existing business processes through automation and system integration.</li><li>Partner with data engineering, IT, and business teams to ensure solutions meet architectural, security, and quality standards.</li><li>Provide technical leadership across data science initiatives, ensuring consistency with agreed-upon methodologies and quality attributes.</li><li>Communicate analytical results and implications clearly to leaders, enabling informed decision-making.</li><li>Coach and mentor less experienced data scientists; provide guidance on prioritization, approach, and technical execution.</li><li>Ensure adherence to responsible AI standards, including privacy, bias mitigation, and ethical use of employee data.</li><li>Maintain awareness of emerging analytics and AI techniques and evaluate applicability to enterprise use cases.</li></ul></div>#LI-AD1#LI-MULTI~IN1</div>Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$89,400.00-$183,500.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum</div>

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Senior Data Scientist - AI & People Analytics

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