Vector Security Remote Job Jobs in Usa

Company Description

Closai's open infrastructure connects personal purchase history to the retail ecosystem, enabling a new era of commerce. Our proprietary Closetization™ system understands what consumers already own and uses that intelligence to power personalized shopping, agentic commerce, and next-generation retail infrastructure. We operate at the intersection of AI, data infrastructure, and commerce. Closai is focused on revolutionizing the way individuals and businesses connect and utilize their assets.

Closai is an early-stage start-up with accelerator backing, pilots in development, and a live product. Check out the app here - Description

We’re looking for a full-time Technical Cofounder or Founding CTO to own Closai’s technical architecture end-to-end and help define the standard for order intelligence. This is a hands-on role. You’ll architect, code, and ship alongside the founder, while shaping the long-term technical vision of the company.

Compensation: Meaningful cofounder-level equity and long-term upside.

What You'll Own:

• Core backend architecture (APIs, data models, security)
• Purchase history intelligence pipelines (ingestion, normalization, enrichment)
• Universal infrastructure enabling third-party integrations
• AI-powered search, recommendations, and agent workflow
• Scalability, reliability, and data privacy foundations
• Technical roadmap aligned with enterprise SaaS and platform monetization

Technical Skills:

• Backend & Infrastructure - Python (preferred) or Node.js - REST and/or GraphQL APIs - PostgreSQL or similar relational databases - Cloud infrastructure (AWS or GCP) - Authentication & authorization (OAuth, JWT, scoped access)
• Data & AI - ETL and data pipeline design - Experience with embeddings, vector databases, or semantic search - Working with LLMs or ML systems in production - Schema design for messy, real-world data - Enterprise-ready pipelines and APIs
• Product Engineering - Shipping consumer and enterprise-facing products - Performance, reliability, and security mindset - Strong intuition for user experience (DX) - Enterprise

Other Qualifications

• Strong Analytical and Research skills to solve complex technical and strategic problems.
• Excellent Communication skills to collaborate with cross-functional teams and stakeholders.
• Ability to lead and manage technical projects with attention to detail and deadlines.
• Strong adaptability and self-motivation in a fast-paced startup environment.
• Previous experience in a technical or cofounder/leadership role is a plus.
• Previous experience with commerce or retail is a plus.

SteerBridge Strategies is a modern technology company delivering innovative, mission‐focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‐grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‐solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

SteerBridge is looking for a Data Scientist to evaluate multi-dimensional USMC C130 global supply

chain and operational data to construct and maintain predictive models. Candidates must be

familiar with multiple types of data models including, but not limited to, generalized linear

and multilinear regression, logistic and multinomial regression, and time series analysis.

Candidates must have hand-on experience with supervised (classification, regression)

and unsupervised learning (clustering, dimension reduction).

Qualifications

• Must be a U.S. Citizen.
• MSc or PhD degree in applied mathematics, statistics, or relevant work experience.
• An active security clearance or the ability to obtain one is required.
• Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
• Provide guidance on best practices and industry standards across data science and analytics, data visualization, and share expertise to improve technical capabilities of the team.
• Design, develop, and integrate templates, data, and models for repeatability.
• Develop and implement data quality assurance and management protocols.
• Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses.

Required and Preferred Skillsets

• Must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis.
• Must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
• 7+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
• 7+ years of experience in advanced Classification and Regression modeling.
• 7+ years of professional proficiency using R, or Python for data wrangling and model building.
• Experience in SQL or Spark SQL, and basic database design.
• Cloud project work using Google, AWS and/or Azure.
• Demonstrated high proficiency in statistical analysis and data visualization.
• Demonstrated high proficiency in data wrangling and documentation.
• Solid technical skills across a wide variety of tools and data platforms.
• Able to successfully prioritize and manage multiple project tasks simultaneously and complete them in a timely manner with a high degree of accuracy.
• Strong record of applied data analysis.
• Excellent writing and presentation skills with a successful track record of communicating complex concepts to diverse audiences.
• Aviation Background Required!
• Preferred:
• (Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.
• Top Secret security clearance.
• Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems).
• Experience supporting DoD and/or VA missions.
• Proficiency in integrating and interfacing with software development processes.
• Consulting experience.
• RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life Insurance
• 401(k) Retirement Plan with matching
• Paid Time Off
• Paid Federal Holidays

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity

Title: AI Architect

Location Santa Clara (USA)

As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.

You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce.

Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives.

This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients

Key Responsibilities

What you’ll do

Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases.

Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers.

Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS).

Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits.

GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.

Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows.

Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance.

Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership.

Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry.

Core Qualifications (The Bar)

•Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.

•Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.

•GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).

•RAG & Orchestration: Proven experience designing complex RAG pipelines.

•Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs.

•Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance

Desired Skills & Experience

• Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
• Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
• GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing
• Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
• Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).

Compensation & Benefits

HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process.

Scope by Level

Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging

Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts.

Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice.

Soft Skills & Behavioural Competencies

We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically:

• Clear, Multi-Level Communication
• Strategic Thinking & Advisory Mindset
• Cross-Functional & Cross-Vendor Collaboration
• Pragmatic Problem-Solving
• Ownership & Accountability
• Continuous Learning & Adaptability
• Customer Obsession & Trust-Building
• Leadership & Mentorship
• Change Agent Mindset

Pay and Benefits

Pay Range Minimum: Base $ 200000 Per Year

Pay Range Maximum: Base $ 220000 Per Year

HCLTech 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.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

Job Summary:

An exciting opportunity exists for an experienced Principal MMIC and Module Design Engineer to join Raytheon’s RF Microelectronics/Module Design & Foundry Services department in Andover, MA. This department develops, designs, and manufactures compound semiconductor devices, microwave/millimeter-wave integrated circuits, and modules for defense applications. The successful candidate will develop state-of-the-art MMIC and module products that support air and missile defense systems and radars. Using advanced semiconductor and module technologies, they will be responsible for the complete product cycle of the MMIC, including concept, design, layout, test, evaluation, and interfacing with the customer.

What You Will Do:

• Develop insights that extend your knowledge in the MMIC design field and form the basis of new concepts, theories, and products
• Design RF structures and transitions on multi-layer, multi-channel RF Modules and analog circuitry enabling both receive and transmit behavior
• Consult across MMIC design, module design, test and assembly teams
• Act independently to troubleshoot, and uncover and resolve issues
• Research and develop new technology that results in new product/business opportunities for Raytheon
• Serve as a technical resource and represent the Department as a technical contact to Raytheon and external customers

Qualifications You Must Have:

• Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM) and 8+ years of relevant work experience with RF/microwave/mm-wave MMIC design, module/subsystem design and test. An advanced STEM degree can count in lieu of some experience)
• Experience with Circuit Simulation tool ADS and in EM tools such as HFSS, Momentum
• Experience designing RF/Microwave MMIC circuits and modules
• The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance

Qualifications We Value:

• Master’s or Doctoral Degree in Electrical Engineering or related engineering curriculum
• Broad background in theory and techniques of microwave/mm-wave circuits, design, and test
• Experience in thermal modeling and analysis.
• Experience of different topology trade-offs, process and active/passive component selection, system/sub-system level, gain-loss analysis and flowing down requirements from the system to the component level
• Layout experience in Mentor Graphics’ Xpedition, Cadence Virtuoso or AutoCAD
• Experience with analytical tools such as Matlab, Python, or JMP
• Experience with microwave testing techniques, including using spectrum analyzers, Real-time Spectrum Analyzers (RSAs), Vector Network Analyzers (VNAs) and Performance Network Analyzer (PNAs)
• Experience with GaAs and/or GaN MMIC devices       
• Current DoD Secret level security clearance

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services(particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.

As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting‑edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production‑grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top‑line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives.

You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI.

• 
  
• Design and deploy ML systems that solve high‑impact business problems for critical workflows.
  
• Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling.
  
• Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine‑tuning, vector databases, RAG) through rapid prototyping.
  
• Partner with AI researchers and data scientists to translate experimental models into production‑ready systems, supporting scaling and generalizability across business domains.
  
• Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization.
  
• Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards.
  
• Collaborate with cross‑functional leaders in engineering, product, and business teams to embed ML‑driven decision‑making into core processes and workflows.
  
• Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing.
  
• Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards.
  
• Design ML‑driven pricing models for fixed income securities, derivatives, and structured products.
  
• Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration.
  

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• 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform‑scale settings.
  
• Proven track record of leading ML projects from ideation to production, including cross‑functional collaboration and technical ownership.
  
• Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling.
  
• Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus.
  
• Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit‑learn, JAX, Ray, MLflow).
  
• Hands‑on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility).
  
• Strong understanding of cloud‑based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar).
  
• Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions.
  
• Strong foundation in fixed income analytics, derivatives pricing, and risk management.
  
• Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards.
  
• Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline.
  

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• Hands‑on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) – including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem.
  
• CFA or FRM certification
  

This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case‑by‑case basis.

The base pay for this position is $240,000–285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.