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Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Python AI Engineer (Prompt & Agentic Systems)

Location: Hybrid –Atlanta, GA (3 days a week onsite)

Client: Retail client

About the Role

We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.

Key Responsibilities

• Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
• Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
• Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
• RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
• Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
• API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
• MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
• Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
• Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.

Required Qualifications

• Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
• Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
• Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
• Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
• Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
• Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
• Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
• Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).

Nice to Have

• Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
• Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
• Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
• Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
• Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
• Front-end basics for AI UX (React/Next.js) or chat UI patterns.
• Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As an Audit Lead, you'll support audit engagements of varying complexity, often participating in cross-functional, risk-based assurance and advisory projects, contributing to the quality of audit work. A key aspect of this role involves testing models and model-related tools as part of audit engagements. You will support Auditor-In-Charge (AIC) responsibilities and maintain knowledge of financial services regulations, effectively responding to and interacting with regulators.

This role provides support and oversight to multiple audit engagements and participates in the review of engagement planning, fieldwork, and reporting. You will also manage strategic initiatives and assist with the development and implementation of a risk-based audit plan. You will serve as, and/or partner with, subject matter expert(s) within audit or the business to analyze issues, establish collaborative client relationships, and proactively work with client management to assess risk and improve internal controls. You will also adhere to the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing (Standards) and Code of Ethics.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Charlotte, NC.

Relocation assistance is available for this position.

What you'll do:

• Contribute to continuous monitoring, advisory activities, special reviews, and investigations.
• Ensure assigned audit engagements are completed objectively, professionally, and timely, adhering to audit standards.
• Identify control weaknesses and recommend improvements, drafting audit issues and reports for client leadership and conducting follow-up.
• Support quality of audit reviews and propose updates to the universe risk assessment based on audit results.
• Build client relationships to drive strategic objectives.
• Communicate effectively with business/clients, delivering risk-based and difficult messages, and potentially with regulators and executive leaders.
• Provide coaching and guidance to other auditors, ensuring timely and quality deliverables, and may provide engagement evaluations.
• Provide input into the internal audit universe and risk profiles, updating risk assessment information.
• Participate in the development and execution of the annual audit plan, assessing and covering risks.

What you have:

• Bachelor's degree in Business or relevant field such as Finance, Accounting, Business, or Information Technology. Four additional years of related experience beyond minimum required may be substituted in lieu of a degree.
• 8 years of audit, financial, insurance, banking, information technology or related business and/or leadership experience.
• Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment.
• Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work.
• Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes.
• Understanding of risks and internal controls and the ability to evaluate and determine adequacy and efficiency of controls.
• Experience in a support role, mentoring, and providing feedback to audit team members throughout the audit.
• Experience in overseeing work with both internal and external partners in a highly collaborative environment
• Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities.
• Demonstrated experience in highly dynamic environment undergoing change; ability to deal with competing priorities.

What sets you apart:

• AI/ML Knowledge: Comprehensive understanding of AI/ML concepts, lifecycle stages, data sourcing, model types, tools, applications, and model risk management principles.
• AI Risk Management Expertise: Proficient in identifying, assessing, and mitigating risks associated with AI systems (e.g., safety, data integrity, privacy, security, biases).
• Model Risk & Control: Deep knowledge of model risk frameworks and control testing methodologies.
• Regulatory & Governance Expertise: Familiarity with AI-related regulatory guidance (e.g., SR 11-7, OCC 2011-12) and emerging governance principles (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
• AI Explainability & Transparency: Ability to evaluate interpretability techniques for regulatory and business transparency.
• Emerging Technology Awareness: Awareness of generative AI, LLMs, and automated decisioning frameworks to assess evolving risks and adapt audit techniques.

Compensation range: The salary range for this position is: $143,320 - $273,930

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are seeking a curious and motivated AI & Systems Operations Associate to join our team in Chicago. This is an entry-level opportunity ideal for a recent graduate or early-career professional who is excited about artificial intelligence and interested in how emerging technologies can improve the way businesses operate.You do not need to be an AI programmer or have a technical degree. What matters most is that you are analytical, tech-comfortable, and naturally curious about AI tools and new technologies. If you regularly explore tools like ChatGPT, enjoy learning new platforms, and like figuring out smarter ways to solve problems, this role could be a great fit.

You will work closely with internal teams to help support AI tools, operational systems, and technology-driven workflows.

Key Responsibilities

• Assist in supporting and maintaining internal operational systems and technology platforms
• Use AI tools to help improve workflows, research solutions, and increase efficiency
• Review and monitor AI-generated outputs to ensure accuracy and usefulness
• Help identify opportunities to streamline internal processes through technology
• Support the adoption and use of new tools and systems across teams
• Assist with documentation, testing, and improvement of technology-driven workflows
• Stay informed on emerging AI tools and technologies that may benefit the business

Qualifications

• Bachelor’s degree required (any field – Liberal Arts, Business, Technology, etc.)
• Strong curiosity about artificial intelligence and emerging technologies
• Comfortable using modern technology platforms and software tools
• Familiarity with AI tools such as ChatGPT or similar platforms
• Strong critical thinking and problem-solving abilities
• Organized, detail-oriented, and eager to learn
• Ability to work hybrid in Chicago (3 days per week in-office)

Nice to Have (Not Required)

• Exposure to workflow or contract management platforms such as Ironclad
• Internship or academic experience involving technology, research, or operations
• Interest in legal technology, legal operations, or business systems
• Basic understanding of automation, AI tools, or digital workflows

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

Location: Dallas, Texas, United States

We are looking for a senior business development leader to drive growth in the rapidly expanding AI Data Center construction and infrastructure market. This role is ideal for a strategic professional with strong industry relationships and a proven track record of winning large-scale AI / hyperscale data center projects.

The successful candidate will lead business development initiatives, build strategic partnerships, and secure high-value projects within the AI and hyperscale data center ecosystem.

Key Responsibilities

• Lead business development strategy for AI and hyperscale data center construction projects

• Identify and secure new opportunities with AI companies, hyperscalers, developers, and data center operators

• Build and maintain executive-level relationships with key stakeholders and decision-makers

• Manage the full sales lifecycle from lead generation to contract closure

• Collaborate with internal teams including engineering, construction, and project management

• Track industry trends, emerging technologies, and market opportunities in AI infrastructure

Requirements

• 10+ years of experience in business development, sales, or strategic partnerships

• Strong background in data center development, construction, or mission-critical infrastructure

• Demonstrated success in securing large-scale data center or AI infrastructure projects

• Established network with hyperscalers, AI companies, developers, or colocation providers

• Excellent leadership, negotiation, and relationship management skills

Ares Management Corporation (\"Ares\" or the \"Firm\") is a publicly traded, leading global alternative asset manager with approximately $572 billion of assets under management (\"AUM\") and approximately 4,100 employees. We seek to deliver attractive returns across each of our strategies and believe our investment groups are market leaders based on assets under management and investment performance. Our distinct but complementary teams have the ability to invest across a company's capital structure, from senior debt to common equity. The Firm was built upon the fundamental principle that each group benefits from being part of the broader platform. We believe the synergies from this multi-asset strategy provides our professionals with insights into industry trends, access to significant deal flow and the ability to assess relative value.

Since our inception in 1997, we have adhered to a disciplined investment philosophy that focuses on delivering compelling risk-adjusted investment returns throughout market cycles. We believe our growth in becoming one of the largest alternative asset managers is a testament to our experienced management team, our focus on performance and our high-quality investor base, which includes large pension funds, university endowments, sovereign wealth funds, banks and insurance companies.

Ares is currently searching for a highly motivated, diligent teammate to join as a full time Associate in our Ares Insurance Solutions (\"AIS\") Strategy Group. AIS is our dedicated, in-house team that seeks to provide asset management, origination, risk analytics, capital, and M&A services to insurance clients globally. The team currently manages ~$25Bn of AUM across a broadly diversified asset portfolio and is the investment manager, capital solutions provider and corporate development partner to Aspida, a leading U.S. life and annuity insurance and reinsurance company.

The AIS Strategy Group consists of investment professionals working directly with the heads of AIS and leaders across Ares to source, evaluate and implement upon our highest priority growth initiatives. Projects led by this group include management company acquisitions, minority investments, strategic partnerships, global expansion, and business development.

The group seeks to strategically deploy Ares, Aspida, and third-party capital in accretive opportunities that enhance our current capabilities and / or expand our product offerings. The Associate will provide support for the sourcing, evaluation and execution of potential new pivotal initiatives for Ares Management and AIS. Key role responsibilities include:

• Performing detailed financial and market analysis that forms the basis for decisions on investments of the firm
• Preparing complex excel financial models
• Screening new investment opportunities
• Preparing investment committee memos and board presentations
• Analyzing investment performance including maintaining and updating financial models as well as keeping track of relevant current market activities
• Assisting in investment closings and diligence
• Supporting strategic projects for new business development initiatives across the AIS and the firm
• Additional duties include providing direct support as deemed necessary by senior management

• Bachelor's degree in Finance, Accounting, Economics, Mathematics or related field (MBA or CFA a plus)
• 2 - 4 years of relevant investment banking, consulting, or principal investing preferably with focus on asset management / financial services or insurance
• Impeccable integrity and trustworthiness. The AIS Corporate Strategy Group is often required to work with sensitive information and a candidate must be willing and able to handle this information appropriately
• Self-motivated with the ability to set priorities, multitask, and monitor own workload to meet deadlines
• High level of attention to detail
• Strong analytical skills and the ability to work well with limited supervision
• Private equity caliber drive and ability to work effectively in a collegial, fast moving, demanding, and dynamic environment
• Creative problem solver
• Strong interpersonal and communication skills
• Highly proficient in Excel, PowerPoint and Word

The anticipated base salary range for this position is $180,000.00 - $200,000.00. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.

Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.

Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.

Chief of Staff – AI & Automation

Location: New York, NY (Midtown)

Work Model: Primarily in-office (4+ days per week)

Bullpen is partnering with a growing New York City real estate investment sales platform to recruit a Chief of Staff – AI & Automation to help modernize and scale the business through technology, automation, and AI-driven workflows.

This is a newly created role designed to improve operational efficiency, streamline internal systems, and help leadership implement new technologies across a high-performing brokerage team.

The position will work closely with senior leadership to identify operational bottlenecks, implement AI and automation tools, and build scalable processes that allow the business to operate more efficiently as it continues to grow.

This role is ideal for someone who enjoys building systems, implementing technology, and solving complex business problems through automation and data.

The Role

The Chief of Staff – AI & Automation will sit at the intersection of operations, technology, and strategy, helping implement systems and tools that improve how the organization operates day to day.

This individual will help streamline workflows, improve data management, and ensure new systems are successfully implemented and adopted across the team.

Key Responsibilities

• Identify opportunities to automate manual workflows and operational processes

• Implement AI tools and automation solutions across the business

• Optimize CRM systems and internal technology platforms

• Manage system integrations and external technology vendors

• Improve internal data management and reporting processes

• Partner with leadership to drive operational initiatives and technology adoption

• Help implement tools that support marketing, deal tracking, and client communication

• Ensure successful rollout and training of new systems across the organization

Ideal Candidate Profile

The ideal candidate is a builder and operator who enjoys implementing technology solutions that make businesses run more efficiently.

Candidates may come from consulting, technology, proptech, or operational roles where they have led initiatives involving automation, CRM systems, or digital transformation.

Experience working in fast-paced or entrepreneurial environments is highly valued.

Qualifications

• Approximately 7–10 years of professional experience

• Experience implementing automation, AI, or digital transformation initiatives

• Familiarity with CRM systems such as Salesforce or similar platforms

• Experience managing system implementations or technical integrations

• Strong project management and problem-solving skills

• Ability to work closely with leadership and cross-functional teams

Real estate experience is helpful but not required.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

We're hiring an AI Conversation Designer

Sci-Rec are currently partnering with a fast-growing AI SaaS company transforming behavioral health.

This isn't just about building chatbots. It's about designing AI that navigates some of the most sensitive, high-stakes conversations in healthcare.

You'll be the bridge between human psychology and LLMs,crafting the voice, logic, and flow of AI agents that genuinely help people at their most vulnerable.

What you'll be doing: Designing dialogue flows for complex clinical workflows. Building the behavioral logic that keeps AI empathetic under pressure. Turning interaction data into sharper, more human conversations.

You're the right fit if you: Have 4+ years in conversation design, UX, or HCI with an LLM/agentic AI focus Obsess over the nuance of language Thrive in fast-moving, ambiguous environments Know your way around model constraints, temperature, and prompt logic

Bonus points for a background in linguistics, cognitive science, or psychology.

Early-stage. Meaningful equity. Genuinely important work.