When Does Adp Send Out W2 Forms Jobs in Usa

Snapshot:Full-time1-hour drive to the Pacific Ocean, a 1.5-hour drive to Mt.

Hood, and a 45-minute drive to PortlandClinic: Primarily O/P w/ IP Rounding every 5-6 weeksState-of-the-art, fully functional CATH lab with 7 suites and hybrid OR accessCall Coverage expectation is 1:4 weekend call (from Friday 7:00 a.m.

to Monday 7:00 a.m.) and 1:4 weekday call.

Not onsite during call.3.5-4 days/week clinicOffice hours
- 8:30 am
- 4:00 pmProcedures: Cardiac CT and NuclearEPIC EMRNew Graduates WelcomeVisa Support OfferedSalary and Benefits:Base Salary Starts at $676,516 and increases DOEUp to $20,000 Sign-on BonusUp to $100,000 Student Loan Repayment$4,000 CME allowance200 hours PTO and 40 hours for CMERelocation AssistanceFull comprehensive medical, dental, and vision plans; Life insurance; Short and long-term disability401(K) retirement plan with employer contributionsEmployee Assistance ProgramOnsite fitness center with 24/7 badge accessPublic service loan forgiveness (PSLF) eligible employerQualifications:BC/BE Cardiac ElectrophysiologistACGME or AOA accredited fellowship training program in EP CardiologyUnrestricted MD/DO Oregon medical licenseDEA and ACLSMust hold privileges for Moderate Sedation or Deep Sedation

Job Highlights:Competitive Annual SalaryRelocation AssistanceExcellent health, dental, vision, and retirement benefitsGenerous Retirement PlansJob Snapshot:BC/BE OtolaryngologistWashington LicenseACLS, BLS, PALS, and COVID vaccine requiredFlexible scheduling options 4 or 5 day schedule availableClinic Hours: 8-51 surgical day per weekCall 1:5 (usually one weekend and one Monday Thursday block every 5 weeks)Consults at two hospitals with a very strong hospitalist programEMR EPIC

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

Hi All,

Role : UIPath with BA

Location : Sunnyvale, CA

Performance Expectations: UIPath PM -BA capable of handling high velocity environment

Collaborate with business stakeholders to identify and evaluate automation opportunities across retail and manufacturing processes.

Conduct process discovery, feasibility analysis, and ROI assessments to prioritize automation use cases.

Prepare Process Design Documents (PDDs) independently and assist in Solution Design Documents (SDDs) with technical teams.

Act as a liaison between business users and RPA developers to ensure accurate and complete requirement translation.

Monitor automation team members for status updates and addressing and removal of blockers

Manage end-to-end delivery of multiple RPA projects, ensuring timelines, scope, and quality standards are met.

Coordinate between business stakeholders, RPA developers, and infrastructure teams.

Drive governance, compliance, and risk management for automation initiatives.

Technical Hiring Criteria (Must Haves)

• Top 3 Required skills: UIPath BA , Requirement gathering and PDD preparation , PM experience to monitor and track delivery of UIPath development team

• Years of experience in each of the must-have skills:8+ relevant experience as UIPath BA -PM

• Any Certifications required: NA

Any additional information you would like to share about the project specs/nature of work:

Strong understanding of UiPath

Experience in documenting business processes and creating PDDs , reviewing SDDs and coordinating across stakeholders.

Familiarity with retail/manufacturing operations and automation use cases.

Excellent communication and stakeholder management

Thank You

Sandra

Role: IT Project Manager IV

Location: Cincinnati, OH - Onsite

Primary Responsibilities:

Coordinate internal resources and third parties/vendors for the flawless execution of projects

Ensure that all projects are delivered on-time, within scope and within budget

Assist in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility

Ensure resource availability and allocation

Develop a detailed project plan to monitor and track progress

Manage changes to the project scope, project schedule and project costs using appropriate verification techniques

Measure project performance using appropriate tools and techniques

Manage the relationship with the client and all stakeholders

Perform risk management to minimize project risks

Meet with clients to take detailed ordering briefs and clarify specific requirements of each project

Track project performance, specifically to analyze the successful completion of short and long-term goals

Meet budgetary objectives and make adjustments to project constraints based on financial analysis

Develop comprehensive project plans to be shared with clients as well as other staff members

Develop spreadsheets, diagrams and process maps to document need Day-to-day responsibilities include but are not limited to:

1. Act as project manager across up to 5 work streams in Commercial Digital

2. Create detailed project plans including critical path milestones and deliverables

3. Facilitate / Participate in status calls, prepare update decks, and emails for varying levels of leadership

4. Track Issues/Risks and escalate accordingly to leadership

5. Manage cross team dependencies

6. Liase between Commercial Digital and external dependent squads

Qualifications:

Degree in Business Management or other related discipline

Project Management Professional (PMP) Certifications

Proven working experience in project management

Excellent client-facing and internal communication skills

Excellent written and verbal communication skills

Solid organizational skills including attention to detail and multitasking skills

About this Position:

Job Title: Systems Analyst

Key Responsibilities and Work Activities

• Serves as a liaison between the business programs and the IT organization to provide technical solutions to meet user needs.
• Develops, retrieves, and distributes reports and datasets to multiple internal and external stakeholders for purposes of monitoring, reconciliation, and operational processing.
• Performs operational support activities for the legacy client and subsystems.
• Receives and responds to requests and inquiries from business stakeholders.
• Monitors vendor requests and coordinates between business and technical staff.
• Identifies trending issues and escalates to program management as needed.
• Translates business requests and needs into system requirements and technical requests.
• Serves as a subject matter expert associated with content, processes, and procedures.
• Performs highly complex analysis, design, and testing as an analyst, to meet the needs of the users of client's systems and its subsystems.
• Reviews and verifies QA and UA results as assigned.
• Documents issues and defects for triage and resolution.
• Proactively identifying risks, issues, and action items leading to possible solutions.
• Interacting with internal and external organizations (i.e. vendors, State and Federal government agencies, State providers, and other stakeholders).

Required Skills:

• 3 years Medicaid or healthcare experience. (Experience working with Medicaid claims and provider operations concepts.)
• Proficient in COBOL programming language.
• 3 years experience operating healthcare Mainframe systems for payers as a technical analyst or related duties.
• At least 3 years experience with EDI transactions, including managing companion guides.
• Experience working with a Medicaid eligibility and/or enrollment information system in an operations capacity.
• Understanding of medical/healthcare capabilities and intricacies.

Preferred Skills:

• Subject Matter Expertise as it relates to healthcare/medical Operations.
• Proficient in data analysis tools and techniques, such as SAS, Excel, data visualization tools, and statistical analysis software.
• Experience providing status reports and other technical or operational reports in a clear and concise manner.

Required Education and Additional Skills

• Bachelor's degree in a technical, business, or healthcare field.
• 3+ years of equivalent experience in systems analysis and/or computer systems development/modification may be substituted.
• Self-motivated and able to learn on the job with little training/guidance.
• Able to review job schedules and logs to troubleshoot issues.
• Experience working in a cross-functional team environment.
• Superb written and oral communications skills, including the ability to relay moderately complex technical instructions and requests.
• Ability to effectively communicate with team members, technical team, key stakeholders, and vendors.

\"No phone calls please.\"

\"We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, citizenship or any protected status.\"

Job Title: Senior Data Engineer

Location: Chicago, IL (Hybrid)

Department: Data & Analytics

Reports To: Head of Data Engineering / Data Platform Lead

Role Overview

We are seeking a highly skilled Senior Data Engineer with strong Python development expertise and deep experience in Snowflake to design, build, and optimize scalable enterprise data solutions. This role is based in Chicago, IL and will support regulatory and risk data initiatives in a highly governed environment.

The ideal candidate has hands-on experience building modern cloud data platforms and is familiar with risk management frameworks, BCBS 239 principles, and Governance, Risk & Compliance (GRC) requirements within financial services.

Key Responsibilities

Data Engineering & Architecture

Design, develop, and maintain scalable data pipelines using Python.

Build and optimize data models, transformations, and data marts within Snowflake.

Develop robust ELT/ETL frameworks for structured and semi-structured data.

Optimize Snowflake performance, cost efficiency, clustering, and workload management.

Implement automation, monitoring, and CI/CD for data pipelines.

Risk & Regulatory Data Management

Support regulatory reporting aligned with BCBS 239 (risk data aggregation and reporting).

Ensure data traceability, lineage, reconciliation, and auditability.

Implement controls aligned with Governance, Risk & Compliance (GRC) frameworks.

Partner with Risk, Finance, Compliance, and Audit teams to deliver accurate and governed data assets.

Data Governance & Quality

Develop and enforce data quality validation frameworks.

Maintain metadata, lineage documentation, and data catalog integration.

Implement data access controls and security best practices.

Technical Leadership

Provide mentorship and code reviews for data engineering team members.

Promote engineering best practices and documentation standards.

Collaborate cross-functionally with architects, analysts, and business stakeholders.

Required Qualifications

7+ years of experience in Data Engineering or Data Platform development.

Strong Python programming expertise (Pandas, PySpark, Airflow, etc.).

Hands-on experience with Snowflake (data modeling, Snowpipe, Streams & Tasks, performance tuning).

Advanced SQL skills and deep understanding of data warehousing concepts.

Experience supporting BCBS 239 compliance or similar regulatory reporting frameworks.

Experience working within Governance, Risk & Compliance (GRC) structures.

Experience in cloud environments (AWS, Azure, or GCP).

Strong understanding of data lineage, controls, reconciliation, and audit requirements.

Preferred Qualifications

Experience in banking, capital markets, or financial services.

Knowledge of credit risk, market risk, liquidity risk, or regulatory reporting domains.

Experience with data governance tools (Collibra, Alation, etc.).

Familiarity with DevOps practices, Docker, Kubernetes.

Experience building enterprise data platforms in highly regulated environments.

Key Competencies

Strong problem-solving and analytical thinking.

Ability to operate in a regulated, audit-driven environment.

Excellent communication and stakeholder management skills.

Detail-oriented with a focus on data accuracy and integrity.

Leadership mindset with hands-on technical capability.

Job Title Salesforce Business analyst

Location: Cupertino, CA

Minimum years of experience: 8

5+ years of experience in business analysis, system configuration, or related technical business roles (required)

Mandatory Skills Salesforce Sales Cloud, Business Analysis

Good to Have Skills Salesforce Sales Cloud Consultant Certification

Thanks and regards

paul

Lead .NET Full-stack Engineer

Charlotte, NC (Hybrid)

6+ Months Contract

Job Description:

Overall 9+ Years exp. is required.

• Design patterns
• REST APIs
• .NET Core, .NET 8 and C#
• Authentication process
• ASP.NET Web API
• Angular
• SQL Server, including stored procedures
• They should also be familiar with modern development tools such as Git, Jira, and CI/CD pipelines (e.g., Azure DevOps).

Role: IT Project Manager IV

Location: Cincinnati, OH

Duration: 10+ Months

Job Summary:

Project management responsibilities include the coordination and completion of projects on time within budget and within scope. Oversee all aspects of projects. Set deadlines, assign responsibilities and monitor and summarize progress of project. Prepare reports for upper management regarding status of project.

Primary Responsibilities:

• Coordinate internal resources and third parties/vendors for the flawless execution of projects
• Ensure that all projects are delivered on-time, within scope and within budget
• Assist in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility
• Ensure resource availability and allocation
• Develop a detailed project plan to monitor and track progress
• Manage changes to the project scope, project schedule and project costs using appropriate verification techniques
• Measure project performance using appropriate tools and techniques
• Manage the relationship with the client and all stakeholders
• Perform risk management to minimize project risks
• Meet with clients to take detailed ordering briefs and clarify specific requirements of each project
• Track project performance, specifically to analyze the successful completion of short and long-term goals
• Meet budgetary objectives and make adjustments to project constraints based on financial analysis
• Develop comprehensive project plans to be shared with clients as well as other staff members
• Develop spreadsheets, diagrams and process maps to document need

Day-to-day responsibilities include but are not limited to:

• Act as project manager across up to 5 work streams in Commercial Digital
• Create detailed project plans including critical path milestones and deliverables
• Facilitate / Participate in status calls, prepare update decks, and emails for varying levels of leadership
• Track Issues/Risks and escalate accordingly to leadership
• Manage cross team dependencies
• Liase between Commercial Digital and external dependent squads

Qualifications:

• Degree in Business Management or other related discipline
• Project Management Professional (PMP) Certifications
• Proven working experience in project management
• Excellent client-facing and internal communication skills
• Excellent written and verbal communication skills
• Solid organizational skills including attention to detail and multitasking skills

Preferred Skills: Experience in AI / Worflow automation, i.e. Claude code, Zapier, etc.