principal automation engineer

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

<div>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. 
Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
The difference you will make:<ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul> 

Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul>
Experience:<ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul>
Technical Skills:<ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul>
Soft Skills:<ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Operations is at the heart of Amazon&rsquo;s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability &amp; Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! 
 
About the Role: 
As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. 
 
What Do We Offer? 
Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there&rsquo;s more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! 
 
Key job responsibilities 
Key job responsibilities include, but are not limited to: 
<ul><li>You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets
</li><li>You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation</li><li>You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems</li><li>You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations</li><li>You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time</li><li>You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience</li><li>Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays</li><li>4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience</li><li>4+ years of robotics work cells and control systems experience</li><li>4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience</li><li>4+ years of electrical theory, robotics, controls components, and automated equipment experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in computer science, electrical engineering, automation engineering, or equivalent</li><li>Master's degree, or Six Sigma Black Belt certification</li><li>Experience leading controls in manufacturing or complex industrial environments</li><li>Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components</li><li>Experience interpreting and modifying mechanical and electrical drawings</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Diego - 114,000.00 - 148,200.00 USD annually</div>

Senior Automation Engineer

Vizzwebsolutions Pvt Ltd

Role OverviewWe are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.Key Responsibilities● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.● Advanced Prompt Engineering &amp; Optimization: Lead the organization instate-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.Ideal Qualifications &amp; Skills● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.<ul><li>We Offer:</li><li>Competitive salary package.</li><li>Friendly and collaborative work environment.</li><li>Growth and learning opportunities in a dynamic IT company.</li><li>Job Type: Full-time</li><li>Performance Bonus</li><li>Increments</li><li>Learning Environment</li><li>CC Fund</li><li>EOBI</li><li>Health Insurance</li></ul>For More Details, Contact Us:03115333221/0334-5522981https://www.vizzwebsolutions.com/Pay: Up to Rs300,000.00 per monthWork Location: In person

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.
Mission
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.
What This Role Owns<ul><li>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</li><li>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>
Prompt versioning: templates in configuration, editable without code changes</li><li>
Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>
Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul>
Key Decisions<ul><li>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</li><li>
Confidence threshold tuning based on evaluation results</li><li>
Context window packing &mdash; what data fits within token budgets</li><li>
Fallback behavior when APIs degrade</li><li>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</li><li>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</li></ul>
Does Not Do<ul><li>
Define AI architecture or agent design patterns (Principal AI Engineer)</li><li>
Build the agentic platform itself (external partner)</li><li>
Build the backend API or data pipelines</li><li>
Fine-tune or train models</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.
</div><div><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>
Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>
Python &mdash; async API calls, retry logic, exponential backoff</li><li>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>
Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>
Token budgeting and context window management</li><li>
AI observability &mdash; output quality monitoring, anomaly detection</li><li>
FastAPI and Docker</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

AI Engineer

The Home Depot

<div>Position Purpose:<div>
The Cybersecurity Principal Engineer, AI Identity (Non‑Human Identity) is a senior, hands‑on technical leader within The Home Depot Cybersecurity Architecture &amp; Innovation team. This role provides enterprise‑wide thought leadership and architectural direction for Identity and Access Management (IAM) with a specialized focus on AI, agentic AI, and Non‑Human Identity (NHI).
The Principal Engineer serves as a recognized company and industry expert, combining deep IAM expertise with a broad understanding of cybersecurity, cloud, and modern enterprise technologies. The role operates in a horizontal capacity, supporting and guiding multiple cybersecurity and technology functions through solution design, evaluation, prototyping, documentation, and operationalization.
This position plays a critical role in shaping Home Depot&rsquo;s AI identity strategy and maturity, defining the foundational IAM architecture and technology enablement stack required to securely support AI workloads, services, and autonomous agents. The Principal Engineer partners closely with cybersecurity, engineering, architecture, and operations teams to ensure identity solutions are scalable, secure, and aligned to both current and future‑state enterprise architecture.</div> 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Aligns - Review, analyze, identify, and provide solutions to mitigate potential security control gaps enterprise wide; Collaborate across teams to reduce vulnerabilities, risks, and incident management; Partner with engineers, technology, and business partners to implement and maintain a secure environment</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Distinguished Engineer</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><div><ul><li>
Extensive enterprise experience in Identity and Access Management (IAM), including identity provisioning, authentication, and authorization.</li><li>
Hands‑on experience with Non‑Human Identity (NHI), such as service accounts, workload identities, or machine identities</li><li>
Proven ability to independently evaluate, design, and prototype complex security or identity solutions</li><li>
Experience working within large, highly integrated enterprise technology environments</li><li>
Strong understanding of core cybersecurity concepts, including authentication/authorization, encryption, segmentation, and secure system design</li><li>
Broad technical knowledge across cloud, compute, networking, databases, and application development</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or equivalent) and cloud‑native identity patterns</li><li>
Proficiency in at least one programming or scripting language used for prototyping, automation, or integration</li><li>
Ability to produce clear technical documentation, including architecture artifacts and design decisions</li><li>
Strong collaboration skills and the ability to provide technical guidance across cross‑functional teams</li></ul></div> 
Preferred Qualifications:<div><ul><li>
Demonstrated experience applying IAM concepts to AI, agentic AI, and emerging AI technology patterns</li><li>
Experience designing or supporting identity strategies for AI workloads, services, or autonomous agents</li><li>
Proven experience developing holistic reference architectures, roadmaps, and future‑state designs</li><li>
Familiarity with Zero Trust principles and modern identity‑centric security architectures</li><li>
Experience guiding engineering and operations teams through operationalization and technology handoff</li><li>
Knowledge of industry cybersecurity frameworks and standards (e.g., NIST or similar)</li><li>
Experience conducting technology evaluations, proofs of concept, and capability assessments</li><li>
Ability to represent IAM or security architecture in cross‑functional design and innovation forums</li><li>
Demonstrated success operating independently in fast‑moving, evolving technology initiatives</li></ul></div> 
Minimum Education:<ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Decision Quality</li><li>
Plans and Aligns</li><li>
Develops Talent</li><li>
Manages Conflict</li></ul></div>

Cybersecurity Principal, AI Identity (REMOTE)

MITRE

<div>Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges&mdash;and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&amp;D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day&mdash;working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
The Cyber Solutions Innovation Center creates solutions using threat-informed cybersecurity approaches to enhance the security, safety, and resiliency of critical cyber systems and infrastructure.
The Cyber Assessments and Security Automation department serves as MITRE&rsquo;s resource for cyber risk evaluation and security innovation. Our team is dedicated to advancing the field of cybersecurity by combining deep expertise in risk assessment with cutting-edge automation technologies. This dual focus enables us to address the evolving needs of our sponsors, ensuring scalable and effective cybersecurity solutions that meet today&rsquo;s challenges and anticipate tomorrow&rsquo;s threats.
Our work is defined by innovation, exemplified through initiatives like SAF, ECHO, and ACT, which demonstrate our commitment to developing transformative tools and methodologies. By leveraging automation, we empower organizations to enhance their security posture efficiently and effectively, positioning them to stay ahead in an increasingly complex cyber landscape.
The Cyber Assessments and Security Automation department reflects MITRE&rsquo;s leadership in cybersecurity, making our value clear to sponsors and internal stakeholders alike. We don&rsquo;t just assess risks; we innovate solutions that drive the future of cybersecurity.
The Cyber Assessments and Security Automation department within the Cyber Solutions Innovation Center is seeking a Principal level Cybersecurity Assessment Engineer to lead the department&rsquo;s contributions across our portfolios. The department supports all of MITRE by providing a variety of cyber assessment products plus overall cyber engineering skills. The Principal Cybersecurity Assessment Engineer position will be a core member of the department and government technical team and serve as the first-line support for various sponsors. The position requires direct contributions to our diverse work programs.
Roles &amp; Responsibilities:<ul><li>
Expertise conducting cybersecurity assessments and workshops for government agencies.</li><li>
Define the Security‑Automation Blueprint for sponsor programs.</li><li>
Design and implement Reusable Automation Frameworks that integrate with existing security tools (Nessus, Burp Suite, Qualys, Tenable.io, Splunk, QRadar, eMASS).</li><li>
Develop and implement security strategies, and provide mentorship to junior assessors.</li><li>
Cybersecurity Risk Management: Expert knowledge of cybersecurity risk management frameworks and methodologies.</li><li>
Vulnerability Assessment &amp; Penetration Testing: Conduct vulnerability assessments, penetration testing, and ethical hacking of applications and systems to identify and remediate security weaknesses.</li><li>
Security Controls Assessment: Conduct Security Controls Assessments (SCA), workshops, and audits for internal teams and partner organizations.</li><li>
Security Tools Utilization: Utilize a variety of security tools&mdash;including Burp Suite, Nessus, Splunk, QRadar, WireShark, eMASS, and others&mdash;to support security operations and assessments.</li><li>
Collaborate effectively with MITRE, government, and contractors; effectively communicate in writing, presentations, and collaborative discussions; and interface with peers, managers, and sponsors.</li><li>
Promote collaboration and integration with other organizational elements within the department and across MITRE.</li></ul>
Basic Qualifications:<ul><li>
Requires a minimum of 10 years of related experience with a Bachelor&rsquo;s degree; or 8 years and a Master&rsquo;s degree; or a PhD with 5 years&rsquo; experience; or equivalent combination of related education and work experience.</li><li>
Automation &ndash; Ansible, Terraform, CloudFormation, Chef, Puppet, SaltStack.</li><li>
CI/CD &ndash; GitHub Actions, GitLab CI, Azure DevOps, Jenkins.</li><li>
Familiarity with Windows, Linux, macOS/Open BSD, and VxWorks/Tornado operating systems.</li><li>
Proficiency in programming languages including Java, C#, C++, Python, Perl, Visual Basic, ASP.NET, PHP, COBOL.</li><li>
Experience in software engineering and systems engineering, including requirements analysis and technical writing.</li><li>
Certifications: CISSP, Certified Ethical Hacker (CEH), Network+, AWS Certified Cloud Practitioner.</li><li>
This position requires a minimum of 50% hybrid on-site</li><li>
Must be able to successfully obtain a Top-Secret clearance within one year of hire
</li><li>Per the U.S. Government&rsquo;s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance</li></ul>
Preferred Qualifications:<ul><li>
Graduate-level degree in a technical discipline (Cybersecurity, Information Assurance, etc.).</li><li>
15 years related experience as a cybersecurity analyst/systems engineer.</li><li>
Active Top Secret Security Clearance.</li><li>
Experience with advanced assessment techniques utilizing Kali Linux, Burp Suite, Wireshark, etc.</li><li>
Experience with various Security Information and Event Management (SIEM) platforms (Splunk, QRadar, Tenable products, etc.)</li><li>
Experience with offensive and defensive cybersecurity operations, including penetration testing</li><li>
Experience with various Information Technology (IT) operations in enterprise environments including system integration, device/network hardening, server administration, network maintenance, etc.</li><li>
Certified Information Systems Security Professional (CISSP)</li><li>
GIAC Penetration Tester (GPEN), GIAC Certified Intrusion Analyst (GCIA)</li><li>
CompTIA Security+, CompTIA Network+, CompTIA Linux+</li></ul>
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Salary compensation range and midpoint:
$172,800 - $216,000 - $259,200 Annual
Work Location Type:
Hybrid
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE&rsquo;s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright &copy; 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.</div>

Principal Cybersecurity Assessment Engineer

Search 6964+ Principal automation engineer jobs near you this May. New roles added regularly across leading industries. Apply today.

6964 principal automation engineer jobs Near Me

Principal AI Engineer

Principal AI Engineer

Senior Automation Engineer

Principal AI Engineer

AI Engineer

Cybersecurity Principal, AI Identity (REMOTE)

Principal Cybersecurity Assessment Engineer