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HCLTech is looking for a highly talented and self- motivated [AI Success Engineer] to join it in advancing the technological world through innovation and creativity.
Job Title: [AI Success Engineer]
Job ID: (70183)
Position Type: Full-time
Location: Dallas, New jersey, Santa Clara, Seattle
Background:
Role Title
AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API)
Location: Dallas, Santa Clara, Seattle, New jersey, Houston
Role Summary
AI Success Engineers are the primary post-sale technical owners for customer outcomes. They operate as trusted technical advisors who ensure customers deploy, adopt, and scale OpenAI capabilities into real workflows with measurable business value.
This role blends technical depth, program leadership, customer advisory, and product influence—driving account health, adoption velocity, and production readiness across OpenAI’s platform suite.
Key Responsibilities
1. Post-Sale Technical Ownership & Account Health
• Own technical success for a portfolio of strategic enterprise customers
• Act as customer-facing technical lead across deployment, adoption, and value realization
• Define and drive customer adoption roadmaps with milestones and KPIs
• Maintain strong stakeholder relationships across executive and practitioner levels
2. Workflow Discovery & Use Case Strategy
• Embed with customer teams to map workflows, pain points, and success criteria
• Identify, validate, and prioritize high-impact use cases
• Guide use case sequencing from prototype → pilot → production → scale
3. Deployment Readiness & Technical Enablement
• Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.)
• Advise on integration patterns (RAG, tool calling, agents, evaluations)
• Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable
4. Program Coordination & Cross-Functional Navigation
• Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams
• Surface technical blockers and field patterns; escalate strategically to internal experts
• Feed customer insights into roadmap and platform improvement loops
5. Value Measurement & Reporting
• Define baselines, KPI frameworks, and post-deployment reporting
• Track adoption depth, usage health, and business impact outcomes
• Support expansion by identifying new workflows and growth paths
What Success Looks Like (6–12 months)
• Multiple use cases are in production and actively used
• Adoption expands in breadth and depth across teams and workflows
• Customer demonstrates measurable impact and repeatable deployment patterns
• Technical risks are anticipated early and mitigated proactively
Required Skills & Qualifications
• 8+ years in technical customer-facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment)
• Hands-on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs
• Familiarity with enterprise security (SSO, encryption, compliance frameworks)
• Comfortable with Python/JavaScript and working with REST APIs, cloud platforms
Nice-to-Have
Strongly Preferred
• Direct experience with OpenAI products and enterprise adoption programs
• Experience operating multi-workstream programs in complex enterprise environments
• Strong product instincts: turning field signals into structured feedback
Pay and Benefits
Pay Range Minimum: $ 230000 per Year
Pay Range Maximum: $ 280000 Per Year
HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Join a team where precision meets power! CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply chains running fast and smarter. Bring your precision and let's build the future together. Apply today!
Experience high-performance, customer-centric inbound-to-manufacturing logistics, powered by cutting-edge technology. Comprehensive Logistics (CLI) is expanding, and we need a driven Materials Superintendent leader like you! Especially if you thrive in:
- Fast-paced, innovative technology base environment
- Opportunities to grow and make an impact
- Be part of the CLI team that values team members
Apply today and fuel the momentum!
As one of the fastest growing warehousing and logistics companies in North America, we're looking for an experienced MATERIALS SUPERINTENDENT.
POSITION RESPONSIBILITIES:
- Manage and enforce material flow and traceability in a warehousing environment using scanning technology and visual management
- Maintain accurate inventories and inventory control using techniques such as min-max and cycle count processes
- Skilled in materials flow process development
- Resolve material shortages, overflow situations, and discrepant records effectively by root-cause analysis and then document continuous improvement
- Skilled in continuous improvement, Kaizen, Gemba, root cause analysis and layered audits
- Perform layered audits and drive open items to closure
- Train material staff ranging from clerks to supervisors
- Exceed customer expectations
- Establish/maintain effective KPI's, monitor performance and initiate improvement opportunities
POSITION REQUIREMENTS:
- Proficient in (3PL) Third Party Services (contract logistics)
- Knowledge of Integrated Supply Chain Model (i.e., Part Sequencing, Sub Assembly, HIGH VOLUME KITTING, Logistics, Warehousing, and Material handling)
- Meet KPI/Metrics to include managing inventory finish goods on hand, performing weekly audits of inventory and ensuring lot location accuracy
- Lean material management principles focused on reducing waste and standardizing processes
- Demonstrated success in supply chain and logistics process improvement activities
- Understand the lean principles of material pull systems to support customer requirements
- Exceptional customer interfacing skills
- Information Technology - Proficiency in Microsoft Office products to include Word, Excel, PowerPoint, and Access
- Experience with material management features or modules in SAP would be an advantage
- Materials systems EXPERT (with multiple systems)
- Strong analytical, problem solving, and follow up skills
- Proven skill in using data to make fact-based decisions and drive business cases approvals.
EDUCATION/CERTIFICATIONS:
- Bachelor's Degree in Business, Supply Chain, Material Management or Engineering required.
- APICS, CPIM, and Six Sigma certifications are an advantage
WORK EXPERIENCE:
- Must have a minimum of 2-3 years Warehousing, Logistics and/or 3PL experience
- Minimum of 2 years of supervisory experience required
- Work experience in Automotive is highly preferred
- Co-Operative Education experience with a Third-Party Logistics provider is desirable
Location: Denton, Texas
Benefits/Perks:
- Benefits: Medical, dental, vision, life insurance, 401K Match, & PTO
- Career development: Opportunity for advancement
- Training: Comprehensive training to fuel your growth and success!
About The Company
Built for precision. Engineered for the future. When ultimate precision and operational reliability are non-negotiable, CLI delivers. As the most advanced 3PL partner in the industry, we integrate cutting-edge technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded partner – ensuring your supply chain moves with unmatched quality, speed, and control.
Comprehensive Logistics Inc. (CLI) is committed to creating a diverse environment and is proud to be an equal opportunity employer.
****Candidate MUST HAVE an Active Top Secret with eligibility for SCI to apply for this role
Title: Senior Linux Systems Engineer
Terms of Employment
- Full-Time, Permanent
- This position is onsite four days per week in Ft. Washington, MD. Once every two-to-three weeks, there is one day of work onsite in Warrenton, VA. The ability to work remotely once per week is acceptable.
Overview & Responsibilities
- As a Senior Linux Systems Engineer, you will serve as the technical authority for a Red Hat Enterprise Linux (RHEL) environment supporting the Cameo (Dassault Systmes/No Magic) suite. This role requires more than standard administration; we are looking for a specialist with CLI-level mastery capable of deep-tier kernel tuning and performance optimization. You will ensure the integrity of server resources, manage a complex Virtual Desktop Infrastructure (VDI), and provide high-level technical support to a large community of system engineers and partners.
You will be responsible for
- Advanced Systems Engineering & Kernel Optimization
- Perform kernel-level tuning (sysctl), I/O scheduling, and memory management to optimize RHEL for high-demand MBSE workloads.
- Execute all administrative tasks, file management, and system troubleshooting via the command-line interface (CLI) in a headless or cloud environment.
- Proactively monitor system health and performance to ensure 99.9% availability of mission-critical server resources and hardware.
- Cameo & VDI Administration
- Act as the primary administrator for Cameo Systems Modeler and Teamwork Cloud, managing user groups, permissions, and server-side configurations.
- Configure and troubleshoot user profiles in a virtual desktop environment using XRDP.
- Create, maintain, and deploy virtual desktop images, ensuring optimized disk storage and session management for multiple concurrent users.
- Security, Automation & Compliance
- Work closely with ISSO/ISSE teams to ensure systems meet ATO/accreditation standards through aggressive scanning, patching, and STIG compliance.
- Utilize Ansible, Puppet, or scripting (Bash/Python) to automate routine maintenance and configuration management.
- Author and maintain technical standards, Standard Operating Procedures (SOPs), and \"RunBooks\" to ensure continuity of operations.
- Agile Integration & Collaboration
- Maintain a detailed work backlog in JIRA, participating in Agile ceremonies and communicating technical status to PMs and Government leads.
- Explain complex technical considerations to external partners and provide high-tier technical support to the user community.
Required Skills & Experience
- Active Top Secret clearance with SCI eligibility.
- IAT Level II compliant (e.g., Security+, CySA+, GSEC, SSCP, CCNA Security, CND, GICSP).
- Expert-level knowledge of Red Hat Enterprise Linux (RHEL).
- Expert-level proficiency in the Linux Command Line Interface (CLI). Must be able to manage the full OS lifecycle without a Graphical User Interface (GUI).
- Demonstrated experience in Linux kernel tuning and performance optimization for enterprise-scale applications.
- Proven experience with XRDP, VDI session management, and image deployment.
- Proficiency in Cameo / No Magic software.
- Experience using JIRA.
- Proficiency in Bash or Python scripting and Ansible configuration management.
- Solid understanding of TCP/IP, SSH, and secure networking protocols.
Preferred Skills & Experience
Active Top Secret/SCI clearance.
Red Hat Certified System Administrator (RHCSA) or Engineer (RHCE).
Experience with cloud-based Linux deployments.
Background in Model-Based Systems Engineering (MBSE) workflows.
We are currently seeking an Associate Director to drive our credit line increase credit strategy for our Card business. This is a high-impact role with significant senior-level exposure, requiring a strategic thinker who can combine deep credit expertise with innovative approaches that balance risk and growth.
The selected individual will shape and advance our CLI strategy through data-driven analysis and cross-functional leadership. This includes evaluating new data sources to strengthen decision-making, acting as customer for data science teams building new models, and partnering with product and acquisition teams to design and market a comprehensive end-to-end customer line strategy.
Key Responsibilities
- Develop and refine CLI policies to achieve both risk and growth objectives.
- Conduct deep credit analysis to identify trends, risks, and opportunities within the portfolio.
- Design and execute A/B testing strategies to evaluate new approaches and optimize outcomes.
- · Prepare and deliver presentations to executive leadership, providing clear insights and actionable recommendations.
- · Lead cross-functional teams (Product, Marketing, Technology, Operations) to bring strategies to life with great customer experience and flawless execution.
- · Develop and execute on business requirements to implement credit/business strategies to improve our lending portfolio
- · Effectively prioritize competing initiatives and share with senior leadership tradeoffs and constraints across various projects
- · Partner with business leaders across functional areas to define priorities, align resources, and communicate progress to executive leadership
Qualifications
- Bachelor's Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management, or Computer Science)
- 5+ years of experience in experience in consumer lending, driving informative risk decisions through analyses; Master's or PHD degrees may offset experience
- Advanced analytical skillset using tools such as SQL, SAS, R, or Python
- Innovative and capable of developing creative solutions to complex, data-driven problems
Location: Charlotte, NC // HYBRID (Tues. - Thurs.)
Who we Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
- Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
- Up to 4% matching 401(k)
- Employee Stock Purchase Plan (10% share discount)
- Tuition reimbursement
- Paid time off (15 days' vacation per year, prorated based on start date)
- Paid sick leave as determined by state or local ordinance (prorated based on start date)
- 11 Paid holidays (4 floating holidays, prorated based on start date)
- Paid volunteer time (3 days per year, prorated based on start date)
About Us:
At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.
As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.
But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.
So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit.
About the Role
Biz2Credit is launching a new small-business credit card, and we are hiring a Director of Credit Card Risk Strategy to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio.
You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before.
Key Responsibilities
Fraud Risk Strategy & Analytics
- Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks
- Build and optimize fraud rules, signals, and decisioning logic
- Partner with Data Science to develop or enhance fraud models
- Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy
- Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities
Credit Risk Strategy & Analytics
- Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring
- Develop and refine credit risk segmentation, cutoffs, and exposure strategies
- Partner with Data Science online assignment models and credit risk models
- Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends
- Continuously optimize credit policies to balance growth and risk
Card Program Buildout & Scaling
- Contribute to building the fraud and credit risk foundation for a new credit card program
- Support scaling of the portfolio through iterative strategy, analytics, and model improvements
- Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms
Cross‐Functional Collaboration
- Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs
- Translate risk strategy into technical requirements for implementation
- Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful
Qualifications
- 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling
- Hands‐on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks
- Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring
- Strong analytics background; proficiency in SQL required, Python preferred
- Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers)
- Experience building or scaling risk strategies for a credit card program
- Ability to work cross functionally with product, engineering, data science, and vendors
- Familiarity with compliance requirements for credit cards; ability to partner with compliance teams
Who Thrives in This Role
- Someone who has built or scaled a credit card risk engine
- A fraud + credit strategist who is equally comfortable with rules, analytics, and models
- A hands-on operator who can design strategy and also dig into SQL
- Someone who enjoys cross-functional execution and long-term program building
- A risk expert who wants to shape the foundation of a new card product
Lead Windows System Administrator - Previous experience working in the Retail Industry is required.
We’re seeking a talented Lead Windows System Administrator with deep expertise in Microsoft and VMware technologies, Azure cloud services, and Microsoft 365 to join our dynamic team managing the core infrastructure that drives business operations.
In this role, you’ll support both on‑premises and cloud environments, play a key role in infrastructure initiatives, and ensure the ongoing security, stability, and performance of enterprise systems. The Windows Administration Team is responsible for maintaining and advancing the Microsoft ecosystem, including Active Directory, Microsoft 365, SharePoint Online, SQL, and the broader Microsoft Collaboration Suite. In addition, the team supports key service platforms such as VMware, compute, storage, backup, and other critical infrastructure technologies.
This position requires participation in an on‑call rotation and offers a primarily remote schedule, with on‑site presence approximately four days per month or as needed based on project or support requirements.
A Day in the Life
- Design and implement hybrid infrastructure solutions using Azure IaaS/PaaS and on‑prem vSphere
- Manage Azure services including VMs, networking, storage accounts, Azure AD, backup, and monitoring
- Oversee VMware infrastructure (vCenter, ESXi hosts, HA/DRS clusters, vSAN)
- Administer enterprise storage platforms
- Automate system tasks using PowerShell, Azure CLI, and Terraform
- Lead incident response, root cause analysis, and performance tuning
- Collaborate with security and networking teams to enforce compliance and governance
- Participate in an on‑call rotation and provide support as needed for projects and escalations
- Mentor junior administrators and contribute to infrastructure roadmaps
You’ll Come With
- Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred)
- 5+ years of systems administration experience, including Windows Server (2016, 2019, 2025)
- Experience with Active Directory, Azure AD, and Microsoft 365 administration
- Expertise with VMware (ESXi, vCenter, vSphere) and virtualization best practices
- Solid understanding of core infrastructure services: DNS, DHCP, DFS, IIS, Group Policy, RDS
- Experience supporting Microsoft SQL Server infrastructure
- Experience with Azure cloud services and Azure DevOps (CI/CD pipelines, infrastructure automation)
- Expertise with Veeam Backup & Replication, including VeeamONE
- Advanced PowerShell scripting skills for automation and configuration management
- Experience with security best practices, patch management, and compliance standards
- Expertise with enterprise server hardware (Cisco, HP rack‑mounted and blade systems)
- Extensive experience with shared storage platforms and architectures
- Working knowledge of monitoring and endpoint management tools such as BigFix, Datadog, or SolarWinds
- Familiarity with ITIL, COBIT, and project management methodologies
Additional Qualifications
- Strong background in risk and compliance, ideally within the payments or financial services space
- Experience with process documentation, including creating documentation from scratch
- Ability to assess and support controls, risks, and operational processes end‑to‑end
Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.
Summary:
The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.
Location: Remote (U.S.) / Hybrid options may be available based on client needs.
Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus
Benefits: Very competitive benefits
Responsibilities
- Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
- Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
- Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
- Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
- Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
- Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
- Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
- Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
- Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
- Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
- Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
- Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
- Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
- Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
- Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.
QUALIFICATIONS:
Required:
- 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
- 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
- 5+ years working in agile delivery environments.
- Google Cloud Professional Cloud Architect certification.
- Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
- Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
- Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
- Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
- Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
- Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
- Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
- Experience supporting very high request volumes and/or extremely large datasets in production environments.
- Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
- Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
- Familiarity with microservices architecture patterns and distributed systems best practices.
- Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
- Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
- Strong written and verbal communication skills across technical and business audiences.
- Calm, decisive execution in high-pressure or incident scenarios.
- Highly organized, self-directed, detail-oriented, and effective with limited supervision.
- Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.
Preferred:
- Bachelor’s or Master’s in Computer Science, AI, or a related field.
- PhD in AI, Distributed Systems, or Cognitive Science.
- Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
- 3+ years working with distributed caching technologies.
- Experience provisioning and configuring cloud platform resources at scale.
- Experience supporting consumer-facing digital or commerce environments.
- Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).
About Hansell Tierney:
Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.
We're looking for an FP&A Manager who can work independently and with an awesome team who aligns with the company’s growth goals. This is a hybrid role based out of Chicago.
Essential Responsibilities:
- Modernize Reporting Platform: Drive the evolution of our reporting infrastructure by adopting cutting-edge technologies and best practices. Collaborate with cross-functional teams to ensure data is easily accessible and insightful.
- Self-Service Analytics: Enable business units to become more self-sufficient in their analytics needs. Develop and implement self-service analytics solutions that empower users to create reports and dashboards independently.
- Data Governance: Enforce data integrity, accuracy and governance in financial and management reporting.
Requirements/Qualifications:
- 6+ years of financial experience with a focus on FP&A.
- Bachelor’s degree in Finance, Accounting or equivalent; CFA or relevant master’s degree preferred.
- Demonstrated experience in data analytics, reporting, and data governance.
- Proficiency in data analytics tools such as Power BI, Vena and Microsoft Excel skills required.
- Experience in preparing/presenting to C-Level executives. Ability to narrate complex financial and Operational details through professional visualization and presentation skill sets.
- Articulate actionable data-driven insights by leveraging BI tools and storytelling techniques.
**U.S Citizenship Required
** The Systems Engineer (Azure) will design, implement, and optimize cloud and hybrid infrastructure solutions within Microsoft Azure to support enterprise IT services and mission-critical workloads.
This role requires strong technical depth in Azure platform services, identity, automation, and infrastructure-as-code, combined with the ability to work across engineering, cybersecurity, and operations teams.
The engineer will contribute to the full system lifecycle — from requirements analysis and architecture design through secure integration, deployment, documentation, and transition to operations.
This position is ideal for someone who thrives in a hybrid cloud environment and can balance hands-on engineering with strategic planning and modernization initiatives.
#cjpost Design and implement Azure-based solutions including Virtual Networks, VNets peering, Azure Firewall, Application Gateways, Load Balancers, and hybrid connectivity (VPN/ExpressRoute).
Deploy and manage Azure compute services such as Virtual Machines, Azure Kubernetes Service (AKS), App Services, and serverless workloads.
Develop secure, scalable architectures aligned with enterprise cloud strategy and governance frameworks.
Implement Azure identity and access solutions including Azure AD, Conditional Access, Privileged Identity Management (PIM), and role-based access control (RBAC).
Engineer hybrid cloud integrations using Azure AD Connect, ExpressRoute, site-to-site VPNs, and hybrid identity models.
Support migration of on-premises workloads to Azure using tools such as Azure Migrate and ASR (Azure Site Recovery).
Collaborate with network and security teams to ensure seamless connectivity, segmentation, and compliance.
Automate provisioning, configuration, and operational tasks using PowerShell, Azure CLI, and Azure Automation.
Apply Azure security best practices including NSGs, ASGs, Defender for Cloud, Key Vault, and managed identities.
Ensure compliance with enterprise security baselines, cloud governance policies, and regulatory requirements.
Participate in security reviews, risk assessments, and architecture evaluations.
Monitor performance, availability, and cost using Azure Monitor, Log Analytics, Application Insights, and Cost Management.
Troubleshoot complex cloud and hybrid infrastructure issues, serving as an escalation point for operations teams.
Optimize cloud resource utilization, performance, and cost efficiency.
Produce architecture diagrams, configuration baselines, runbooks, and lifecycle documentation.
Support transition-to-operations activities including knowledge transfer, acceptance testing, and operational readiness reviews.
Maintain accurate documentation aligned with enterprise lifecycle and change management processes.
Minimum Qualifications Bachelor's Degree in Information Technology, Computer Science, other relevant field, or equivalent relevant experience; Master's Degree preferred.
Advanced computing certification preferred.
5–8 years of experience in systems engineering, with at least 3 years focused on Azure.
Other Job Specific Skills Experience working with IaC templates and Config Management tools.
Strong experience with Azure networking, compute, identity, and security services.
Proficiency with PowerShell, Azure CLI, and infrastructure-as-code tools.
Hands-on experience with hybrid cloud integrations and workload migrations.
Strong analytical and problem-solving skills with the ability to troubleshoot complex cloud issues.
Excellent communication skills and the ability to collaborate across engineering, operations, and cybersecurity teams.
A mindset focused on automation, modernization, and continuous improvement.
Ability to balance hands-on engineering with architectural thinking and long-term planning.
Preferred Certifications Microsoft Certified: Azure Administrator Associate (AZ‑104).
Microsoft Certified: Azure Solutions Architect Expert (AZ‑305).
Microsoft Certified: Azure Security Engineer (AZ‑500).
Terraform Associate or equivalent IaC certification (optional but valuable).
#cjpost
Salary: $105,000
- $125,000 per year A bit about us: Software Company Why join us? Tons of growth opportunities Job Details Position: Full Stack Developer We are seeking a highly skilled Full Stack Developer with experience in Angular (v19+) and Java (8/17+).
This role focuses on designing, developing, and deploying scalable web applications.
The ideal candidate has strong expertise in front-end frameworks, backend development with Spring Boot, and delivering high-performance, maintainable software solutions.
Core Skills & Responsibilities Develop and maintain scalable applications using Angular and Java.
Build RESTful and GraphQL APIs and integrate front-end interfaces.
Create Angular components, services, and modules using RxJS, NgRx, and Angular Material.
Develop backend logic using Spring Boot, Spring Data JPA, and Spring Security.
Write and execute unit and end-to-end tests (Jasmine, Jest, Cypress).
Optimize build and runtime performance (Angular CLI, Vite, ESBuild).
Work with Docker, NX monorepos, and CI/CD pipelines (GitHub Actions, Azure DevOps).
Collaborate across teams to ensure code quality and maintainability.
Requirements Proficiency in Java 8/17+, Spring Boot, and related Spring modules.
Strong experience with Angular 19+, TypeScript, HTML5, CSS3, and JavaScript.
Knowledge of RESTful and GraphQL API integration.
Familiarity with Docker, CI/CD tools, and Agile practices.
Ability to commute to the office three days per week.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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