Vector Security Remote Jobs Jobs in Usa

Outside Sales Representative – Residential & Commercial Security Solutions

Job Details

Description

Vector Security is seeking an Outside Sales Representative (Residential and Commercial Security Solutions) to grow new and existing customer relationships within an assigned territory. This opportunity offers a combination of base salary and uncapped commission while building relationships with homeowners, business owners, and key decision makers.

At Vector Security We Think Big, Do the Right Thing, and Make a Difference Every Day! If this is how you like to work, we’d like to invite you to join our team!

We offer great benefits, a competitive base salary + uncapped commission, and growth opportunities. We think you’ll find what you want here because what we do matters - to us, our customers, and most of all, our team members.

Location: Auburn, AL

Summary:

Vector Security is seeking an Outside Sales Representative (Residential and Commercial)! In this field-based role, you will generate new opportunities through prospecting, networking, referrals, and in-person meetings with potential customers. Representatives assess customer needs and recommend customized security solutions including alarm systems, video surveillance, access control, fire systems, and smart home technology.

Successful candidates are motivated self-starters who enjoy building relationships in their community, managing their own territory, and developing a strong sales pipeline. By delivering solutions that protect people, property, and operations, representatives play a key role in helping customers feel secure while growing their own income through performance-based earnings.

Why Join Vector Security

• Established brand with trusted security solutions for both residential and commercial customers
• Opportunity to build and grow your own territory through relationship-driven sales
• Diverse product portfolio including intrusion detection, video surveillance, access control, fire systems, and smart home technology
• Ongoing training and product education to support your success in the field
• Competitive compensation including base salary, uncapped commission potential, and monthly vehicle allowance

What You'll Do:

• Sell Vector Security residential and commercial solutions by proactively generating appointments with prospective and existing customers and ensuring offerings align with customer needs and company objectives.
• Maintains strong product knowledge through ongoing training and certifications; educate customers on security solutions including video surveillance, intrusion detection, access control, and fire alarm systems.
• Continuously build and manage a sales pipeline by generating commercial proposals and maintaining opportunities equal to at least four times monthly sales quota.
• Track all proposals and activity within company CRM system to ensure accurate reporting and management visibility.
• Collaborate with commercial system design teams and branch operations to ensure the proper scope is defined for larger commercial installations.
• Identify and pursue new market opportunities by developing strategies to introduce Vector's products to new customers and target segments.
• Monitor competitive activity and market trends including pricing, products, delivery schedules, and merchandising techniques.

What You'll Need:

• High School Diploma required. Bachelor's Degree preferred.
• Valid Driver's License
• Needs to be savvy in using social media to increase sales leads.
• Prospecting Skills:
• In order to expand our commercial business, it is important that Commercial sales representatives be able to build new relationships and generate new logos for the company.
• This can be done via a variety of methods including leveraging LinkedIn, social media, networking, working “Dodge” type reports, etc.
• Previous Sales Experience - Preferred:
• Demonstrated success in previous sales positions.
• Presentation Skills:
• Ability to present complex integrated solutions that are common in Large Commercial environment.
• Closing Skills:
• Must be able to close commercial proposals at a rate deemed acceptable by management, overcome objections, have strong negotiation skills.

We also recognize that great sales professionals come from many different industries. If you bring strong relationship-building skills, a consultative approach, and the drive to succeed, we’d love to hear from you! Candidates from a variety of outside sales environments often excel in this role, including security systems, alarm or access control sales, HVAC or building systems sales, telecom or cable sales, solar, pest control, or furniture sales, and other territory-based consultative sales roles.

Compensation & Earnings Potential:

We offer base salary + uncapped commission along with guaranteed commission for first six pay periods. This role offers a competitive commission structure with uncapped earning potential. High-performing representatives often earn up to $80,000 in their first year, with experienced top performers exceeding six figures.

What You'll Get:

We offer a “Total Rewards” package including:

• Competitive compensation with incentive eligibility
• Medical, dental and vision coverage
• Company paid life and AD&D insurance.
• Company paid short- and long-term disability.
• Voluntary benefit products
• 401k retirement savings plan
• Flexible Spending Account
• Paid time off
• Tuition reimbursement
• Employee Assistance Program (EAP)

About Us:

We are one of the largest security integrators in the country and have proudly been installing innovative security and smart automation solutions in homes and businesses for more than 50 years. Our purpose is to make our world more secure, connected and empowered, one customer at a time.

Our Values:

• Win as a team.
• Do the right thing.
• Make a difference every day.
• Get it done.
• Think big.

If you share these ideas, we’d love to hear from you!

Vector Security is a Drug-Free Workplace

Vector Security is an Equal Opportunity Employer

All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, transgender, national origin, veteran, or disability status.

Job Description:

A Security Engineer serves as the security engineer of complex technology implementations in a product-centric environment; is comfortable with bridging our client between legacy development or operations teams and working toward a shared culture and vision; works to ensure developers create the most secure systems while enhancing the privacy of all system users; and has experience with white-hat hacking and fundamental computer science concepts.

The Security Engineer will perform security audits, risk analysis, application-level vulnerability testing, and security code reviews; develop and implement technical solutions to help mitigate security vulnerabilities; and conduct research to identify new attack vectors.

• Demonstrated skills in security architecture, IT Security, networking, or systems administration with an emphasis on security.
• Proven knowledge of security architecture design, network security, vulnerability management, and threat intelligence/analysis.
• Knowledge of common information security management frameworks, such as NIST, CIS, ISO 27001, COBIT, or PCI DSS.
• Strong understanding of encryption.
• Strong understanding of networking concepts and protocols (e.g., TCP/IP, LAN, WAN, DHCP, DNS, Routing Protocols, etc.)
• Expert-level knowledge of security systems such as SIEM (Microsoft Sentinel), IPS, Firewalls, and related network security tools.
• Operating Systems: Windows, Unix, Mac -Databases: SQL, Azure, Oracle.
• Must have hands-on experience using Model Context Protocol (MCP) to enable AI agents and large language models to interact with external tools, APIs, and enterprise data.

This classification must have a minimum of ten (10) years of experience with developing and implementing technical solutions to help mitigate security vulnerabilities.

• 2 years of experience with Microsoft Azure (IaaS, PaaS, IaaS), Microsoft Sentinel, CrowdStrike, Tenable, Palo Alto Firewall Zscaler KQL.
• 1+ years of experience developing AI-enabled solutions using modern LLM tools (e.g., Codex, Claude, or similar) to support GRC and Incident Response processes.
• 3+ years of experience within each of the following: - Incident response - managing the security of multiple platforms, operating system, software and network protocols for a large IT organization - risk management, auditing, assessment, industry security framework, and/or internal controls - security, operations, control assessment, risk management, auditing, and/or internal controls - with security and privacy legal and regulatory requirements - performing information security risk assessments and risk analysis.

Skills Required:

• Security Engineers will possess knowledge and experience in safeguarding sensitive data from cyber-attacks.

Experience Required:

• This classification must have a minimum of ten (10) years of experience with developing and implementing technical solutions to help mitigate security vulnerabilities.

Education Required:

• This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
• ITIL Foundation certification and CISSP (Certified Information Systems Security Professional)

At Vector Security We Think Big, Do the Right Thing, and Make a Difference Every Day! If this is how you like to work, we’d like to invite you to join our team as a Home Technology Sales Representative!

We offer great benefits, a competitive salary, and growth opportunities. We think you’ll find what you want here because what we do matters - to us, our customers, and most of all, our team members.

Location: Greater Pittsburgh Area, PA

Summary:

We are looking for a Home Technology Sales Representative to join our team in the Greater Pittsburgh Area, PA.

How does an annual all-expense paid vacation sound? You can earn this and other incentives as a Vector Security sales rep! We hire only the best and arm them with best security and smart technologies, support personnel, and tools to ensure long-term success.

Now it’s your turn to build your sales legacy: We are expanding our sales force and are looking for the very best to represent Vector Security.

What You’ll Do:

• Meet or exceed monthly and annual sales quotas, focusing on residential and small business accounts.
• Prospect for new clients and establish mutually beneficial relationships with existing client to obtain referrals to develop into new sales.
• Inspect and review physical premises, design system requirements in accordance with client’s needs.
• Prepare documents according to establish company guidelines.
• Close sales and offer exceptional customer service & follow-up.
• Monitor job progress, demonstrate operation of security system including a final “walk-through” with clients.

What You’ll Need:

• High School or Better
• 1-year: Prospecting Sales with an emphasis on cold calling
• 1-year: Outside Sales
• Valid Driver’s License with an Acceptable Driving Record
• Technologically adept (tablets, smart phones and computers)
• Lead Generation
• Self-Starter
• Presentation Skills
• Rapport Building
• Team Player
• Enthusiastic
• Customer Service
• Goal Oriented
• Ability to make an impact

What You’ll Get:

We offer a "Total Rewards” package including:

• Vehicle Allowance
• Company Paid Cell Phone and Tablet
• Competitive compensation with incentive eligibility
• Medical, dental and vision coverage
• Company paid life and AD&D insurance.
• Company paid short- and long-term disability.
• Voluntary benefit products
• 401k retirement savings plan after 60 days
• Flexible Spending Account
• Paid time off
• 7 Company Holidays, plus 2 Floating holidays of your choice
• Tuition reimbursement
• Employee Assistance Program (EAP)

About Us:

We are one of the largest security integrators in the country and have proudly been installing innovative security and smart automation solutions in homes and businesses for more than 50 years. Our purpose is to make our world more secure, connected and empowered, one customer at a time.

Our Values:

• Win as a team.
• Do the right thing.
• Make a difference every day.
• Get it done.
• Think big.

If you share these ideas, we’d love to hear from you!

Vector Security is a Drug-Free Workplace

Vector Security is an Equal Opportunity Employer

All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, transgender, national origin, veteran, or disability status.

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

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

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

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

Role Overview

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

Key Responsibilities

1. Guardrails, Safety & Governance

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

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

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

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

2. Observability Frameworks

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

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

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

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

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

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

4. Evaluation Infrastructure

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

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

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

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

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

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

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

6. Collaboration & Enablement

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

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

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

Required Qualifications

Technical Skills

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

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

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

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

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

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

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

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

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

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

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

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

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

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

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

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

AI Innovation Architect

Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.

Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.

InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
• Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
• Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
• Create and promote AI strategies that align with business objectives
• Develop and coordinate POCs to test new technologies
• Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation

QUALIFICATIONS

• U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
• 8+ years of experience delivering AI solutions across federal agencies
• Bachelor’s degree in Computer Science, Engineering, or Data Science
• Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
• Ability to identify high-impact AI use cases and translate them into technical requirements
• Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
• Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
• Excellent written and oral communication skills
• Ability to tailor and present information across multiple stakeholders

NICE TO HAVES

• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
• Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
• Experience with Google Gemini

ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.

WHY INDEV

• Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
• Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
• Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
• Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
• Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
• Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.

If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.