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agentic ai engineer

Booz Allen Hamilton

<div>Agentic AI Engineer
The Opportunity: 
We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment. 
 
What You'll Work On:<ul><li>
Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.</li><li>
Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.</li><li>
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.</li><li>
Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.</li><li>
Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in software development</li><li>
3+ years of experience with GenAI, LLMs, and agentic workflows</li><li>
3+ years of experience with LangChain, LangGraph, AutoGen, or LlamaIndex</li><li>
Experience with MCP for tool integration and A2A for agent-to-agent collaboration</li><li>
Experience with RAG architecture and KG, including Neo4j or NebulaGraph</li><li>
Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA</li><li>
Knowledge of modern software design patterns, including microservice design or edge computing</li><li>
Ability to obtain a Secret clearance</li><li>
Bachelor&rsquo;s degree in a CS or AI field</li></ul>
Nice If You Have:<ul><li>
Experience deploying agentic systems in a production environment</li><li>
Experience deploying agents on edge devices such as Android or local models</li><li>
Experience integrating coding agents such as Cursor or Windsurf, into an efficient development pipeline with measured results</li><li>
Master&rsquo;s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
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.</div>

Agentic AI Engineer

Cloudera

<div>Business Area:
Professional Services
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world&rsquo;s largest enterprises.
As an AI Solutions Engineer within Cloudera&rsquo;s Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from &quot;data chaos&quot; to &quot;agentic autonomy.&quot; You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).
This is not a &quot;theoretical&quot; role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys&mdash;helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.
As the AI Solutions Engineer you will:
1. AI Model Strategy, Selection and Implementation<ul><li>
Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.</li><li>
Guide customers on &quot;Build vs. Buy vs. Fine-tune&quot; decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.</li><li>
Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).</li></ul>
2. End-to-End Data Engineering<ul><li>
Design and implement robust data pipelines within CDP to transform &quot;messy&quot; legacy data into AI-ready formats.</li><li>
Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.</li><li>
Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.</li></ul>
3. Optimization &amp; Performance Tuning<ul><li>
Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).</li><li>
Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.</li></ul>
4. Public Sector Advisory &amp; Governance<ul><li>
Collaborate with the customer&rsquo;s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.</li><li>
Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.</li></ul>
We&rsquo;re excited about you if you have: (Minimum Qualifications):<ul><li>
Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.</li><li>
Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).<ul><li>
Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.</li><li>
Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.</li><li>
Experience developing visual data representations and dashboards (Django, React, or Angular)
</li><li>Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)</li></ul></li><li>
Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).</li><li>
Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).</li><li>
Active Top Secret Security Clearance</li></ul>
You may also have: (Preferred Qualifications)<ul><li>
Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.</li></ul><ul><li>
Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.</li><li>
Experience installing and operating Cloudera Data Platform</li><li>
Experience installing and operating Kubernetes</li><li>
Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.</li><li>
Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.</li><li>
CI or FSB Poly</li></ul>
This role is not eligible for immigration sponsorship
What you can expect from us:<ul><li>
Generous PTO Policy</li><li>
Support work life balance with Unplugged Days</li><li>
Flexible WFH Policy</li><li>
Mental &amp; Physical Wellness programs</li><li>
Phone and Internet Reimbursement program</li><li>
Access to Continued Career Development</li><li>
Comprehensive Benefits and Competitive Packages</li><li>
Paid Volunteer Time</li><li>
Employee Resource Groups</li></ul>
EEO/VEVRAA
#LI-MH2
#LI-Remote</div>

AI Solutions Architect

Resilience

<div><div>About Us

At Resilience, we're creating a new category that integrates cybersecurity, cyber insurance, and cyber risk management. Founded in 2016 by experts from across the highest tiers of the US military and intelligence communities &ndash; and built by prominent leaders and innovators from the insurance, technology, and cybersecurity industries &ndash; Resilience is rewriting the rules of how cyber risk is assessed, measured, and managed.

Our integrated cyber risk solutions connect risk quantification software, cybersecurity experts, and A+ rated cyber insurance, all purpose-built for middle and large organizations. We are a cybersecurity company, a Cyber and Tech E&amp;O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one.

Resilience is proud to be backed by leading technology investment firms, including General Catalyst, Lightspeed Venture Partners, Intact Ventures, Founders Fund, CRV, and Shield Capital.</div><div>
The Hook: Why this role matters now</div>
<div>Step into a critical role to build, defend, and scale the security posture of our category-defining SaaS platform and internal corporate systems. As a Security Engineer, you won't just monitor alerts or patch vulnerabilities; you will take complete ownership of engineering proactive guardrails, automating incident response workflows, and securing emerging technologies like AI and machine learning. Operating at the highly collaborative intersection of Security, IT, and DevOps, you will aggressively dig into legacy processes to architect permanent, automated fixes rather than applying temporary patches.</div>
<div></div>
<div>The Mission: What you will achieve in the first 6 months</div>
<div>In your first six months, you will take full accountability for designing and maintaining automated response playbooks using orchestration workflows (e.g., n8n, Tines, or XSOAR) to heavily reduce manual intervention. You will pioneer our agentic security engineering efforts by developing custom SecOps applications and autonomous workflows that seamlessly triage alerts and accelerate our defense capabilities. Furthermore, you will completely own cloud infrastructure security by implementing &quot;Infrastructure as Code&quot; (Terraform) across our multi-cloud footprint (AWS/GCP), while establishing robust security guardrails for AI platforms and developer tools to mitigate risks like prompt injection and data leakage.</div>
<div></div>
<div>The Toolkit:</div>
<ul><li>4+ years of experience in a Security Engineering, DevSecOps, or high-level SecOps role. You must possess a relentless automation mindset with proven ability in Python, Go, or low-code orchestration platforms.
</li><li>You need hands-on proficiency securing AWS or GCP services (IAM, WAF/ALB, Fargate/Lambda), deep experience with Infrastructure as Code (Terraform/CloudFormation/Pulumi) within a Git-based CI/CD workflow, and practical experience using agentic AI tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate code development and security auditing.</li>
<li>Experience securing &quot;Agentic&quot; developer tools and AI coding assistants, with a practical understanding of governing model traffic via AI Gateways and the Model Context Protocol (MCP).
</li><li>Familiarity with container security, zero-trust networking (Zscaler), EDR (Crowdstrike/SentinelOne), and managing endpoint security profiles (MDM/JAMF).</li>
</ul><div>The Culture: How we work</div>
<div>We move fast, operate with zero ego, and embrace a bias to action. You will work cross-functionally alongside DevOps and IT to seamlessly balance rigorous security requirements with developer velocity.</div><div>
What Resilience Offers You

Innovative company culture

Flexible work schedules

Family paid leave

Paid healthcare for employees

401k/Pension

Professional development &amp; career advancements

Flexible paid time off

Employee referral bonus

Accommodations and Accessibility

We want to ensure you're able to perform as well as possible in your interview. As part of that, if you have any accessibility-related needs to ensure a comfortable visit, please let us know. We'll do our best to provide reasonable accommodations to suit your working style during your interview and if you join our team.

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let your recruiter contact know.

Beware of Job Scams

Resilience is excited to welcome talented individuals to explore career opportunities with us. However, we urge you to stay vigilant against recruitment scams where fraudsters may impersonate our company. We will never ask for payments, conduct interviews via chat rooms, or contact candidates from personal email accounts. All job applications must be submitted through our official platform at greenhouse.io , and interviews will only take place via approved Resilience accounts. If you receive suspicious outreach or have concerns, please let your recruiter contact know. Thank you for helping us maintain a safe and secure recruitment process.</div></div>

Security Engineer

<div>AI DevOps Engineer
The Opportunity: 
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.
Are you ready to transform our nation's intelligence community with AIOps?
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
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.</div>

AI DevOps Engineer

Scribd, Inc.

<div>Scribd, Inc. is on a mission to advance human understanding. Our four products &mdash; Scribd, Slideshare, Everand, and Fable &mdash; help billions of people across the globe move beyond access and into insight, application, and expertise.<h2 class="jobSectionHeader">
Culture at Scribd, Inc.</h2>
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
So what are we looking for in new team members? At Scribd, Inc., we hire for &ldquo;GRIT.&rdquo; Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
This posting reflects an approved, open position within the organization.<h1 class="jobSectionHeader">
About the Role</h1>
Fable Core is the backend, infrastructure, and platform team behind Fable &ndash; a social reading product now part of Scribd, Inc. Fable is a leading platform for everything related to books and reading: find your next book, join a book club, build a reading habit. We care deeply about building a great experience for our growing community of 1M+ monthly active users. The Fable app has often been featured in the App Store, both as App Of The Day and the Essential Book Apps list.
As a Staff Software Engineer on the Fable Core team, you will set technical direction for the Fable backend and own the reliability and health of the platform that powers the product. You will partner with product, design, ML, and infrastructure partners to turn ambiguous product intent into durable backend systems, lead incident response end-to-end, and raise the ceiling for the team through design leadership and mentorship. We are a small team with broad scope - every position on the team is high-impact.
Our stack: Python/Django, Postgres, Kubernetes, Datadog, GCP / AWS.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Set technical direction for the Fable backend &ndash; write and socialize technical design documents, drive architecture reviews, and turn ambiguous product intent into concrete backend design.</li><li>
Own backend reliability and platform health, including staging, CI/CD, databases, queues, cost, and observability.</li><li>
Lead incident response and drive durable postmortems &ndash; write the doc, run the meeting, and make sure action items actually ship.</li><li>
Be the Fable backend voice in cross-team planning and the glue in cross-functional execution.</li><li>
Raise the ceiling for the team through PR review, mentorship, pairing, and by setting a high bar on design, testing, and ops.</li><li>
Build and evolve the Fable backend platform so the team can ship faster and more safely.</li><li>
Bring agentic engineering practices into the team&rsquo;s day-to-day work and help the team adopt them effectively.</li></ul><h1 class="jobSectionHeader">
We&rsquo;re Looking for Someone With</h1><ul><li>
10+ years of backend experience, including meaningful time in Python/Django and at least one other stack (Go, Node, Java/Kotlin, or similar).</li><li>
Experience operating production systems on a major cloud &ndash; OLTP databases at scale, container orchestration, queueing, and CI/CD.</li><li>
A track record of owning incidents end-to-end, including the follow-through.</li><li>
The ability to write a TDD that a staff peer trusts and a product lead can understand, and to turn ambiguous product intent into concrete backend design.</li><li>
Strong cross-functional collaboration skills &ndash; you hold your own with senior PM, design, and ML partners, and you care more about the system landing than about being right.</li><li>
A pragmatic default paired with a strong systems instinct &ndash; you look for root causes, not symptoms.</li><li>
Hands-on experience with agentic engineering tools and workflows in a real production setting.</li></ul><h1 class="jobSectionHeader">
Nice to Have</h1><ul><li>
Experience with subscription and entitlements systems (Stripe, RevenueCat, App Store / Play billing).</li><li>
Experience leading a platform or infra function through a migration (on-prem cloud, AWSGCP, monolith services, or similar).</li><li>
Experience working alongside ML teams on recommendation or feed systems.</li></ul>
-
At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.<div></div> 
In the state of California, the reasonably expected salary range is between $171,000 [minimum salary in our lowest geographic market within California] to $267,000 [maximum salary in our highest geographic market within California].<div></div> 
In the United States, outside of California, the reasonably expected salary range is between $141,000 [minimum salary in our lowest US geographic market outside of California] to $254,000 [maximum salary in our highest US geographic market outside of California].<div></div> 
In Canada, the reasonably expected salary range is between $179,000 CAD[minimum salary in our lowest geographic market] to $228,500 CAD[maximum salary in our highest geographic market].<div></div> 
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.<h2 class="jobSectionHeader">
Working at Scribd, Inc.</h2>
Are you currently based in a location where Scribd, Inc. can employ you?
 
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: 
United States:
Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
Canada:
Ottawa | Toronto | Vancouver
Mexico:
Mexico City
Benefits at Scribd, Inc.<ul><li>
Scribd Flex (flexible work model)</li><li>
Comprehensive health, dental, and vision coverage</li><li>
Mental health support and disability coverage</li><li>
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals</li><li>
Paid parental leave and family support benefits</li><li>
Retirement matching and employee equity</li><li>
Learning and development programs and professional growth opportunities</li><li>
Wellness and home office stipends</li><li>
Complimentary access to the Scribd, Inc. suite of products</li><li>
Enterprise access to leading AI tools</li></ul>
Get to Know Scribd, Inc. 
About Scribd, Inc. 
Life at Scribd, Inc.
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.</div>

Staff Software Engineer (Backend) - Fable Core

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD97432
Position Overview
At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.
Within the Experience Foundations team for AEC (Architecture, Engineering, and Construction), we are seeking a Senior Manager of Content Strategy to lead content strategy for our Design Solutions team. Design Solutions consists of several pivotal products and platforms for Autodesk including AutoCAD, Revit, Civil 3D, and Forma. Reporting to the Senior Director of Content Strategy, this role will lead and grow a team of content strategists to strategically shape best-in-class product design and deliver high-quality user experiences that are intuitive, personalized, contextual, and spark joy. They'll also create and foster a tight-knit team culture marked by close collaboration and shared approaches, craft development, innovation and experimentation, and empowerment and AI-enablement. They'll partner closely with Design, Product, Engineering, Research, and Operations, and other cross-functional partners, to ensure content strategy is engaging on the top priorities in ways that meet top customer needs and drive business outcomes.
This moment requires us to work in new ways&mdash;using AI internally to improve how we operate, make decisions, and deliver experiences, while also building trusted AI capabilities that help our customers automate repetitive work, accelerate creativity, and unlock smarter, more connected workflows. To deliver on our vision, we need exceptional contributors and leaders who are curious, adaptable, customer-focused, and excited to help shape the future of work at Autodesk.
Responsibilities<ul><li>
Manage a team of full-time content strategists and contractors to set and execute the content strategy across the Design Solutions portfolio ensuring strategic impact on the top priorities and driving coherence across interconnected journeys</li><li>
Lead, coach, inspire, and grow the Design Solutions Content Strategy team, fostering a tight-knit culture, high standards, innovation, experimentation, career development, and strong collaboration</li><li>
As part of the Senior Director of Content Strategy's leadership team, shape and support the AEC Content Strategy team by contributing to strategic initiatives, nurturing team culture, fostering learning opportunities, and mentoring members</li><li>
Oversee the delivery and management of clear, concise user interface text, in-product messaging, and product documentation and lead by example on key projects</li><li>
Guide the design of learning and onboarding experiences that are intuitive, approachable, personalized, contextual, and aligned with Autodesk&rsquo;s AI-forward product direction</li><li>
Define a clear vision for how content meets user needs, supports their business goals, reduces friction, and improves collaboration, comprehension, confidence, and task success</li><li>
Build and evolve scalable frameworks, standards, evaluation methods, and governance for UX content, terminology, voice, tone, and content quality</li><li>
Partner closely with Design, Product, Engineering, Research, Analytics, and Operations to ensure content is integrated early and effectively into the product development process on top priorities</li><li>
Develop scaling strategies including empowering partners, evolving approaches to support documentation, and leveraging AI</li><li>
Use customer insights, research findings, data, and business context to prioritize content opportunities and inform strategic decisions</li><li>
Drive alignment with senior stakeholders by translating ambiguous needs into clear plans, priorities, and measurable outcomes</li><li>
Champion accessibility, inclusivity, and plain-language principles across all content experiences</li><li>
Continuously explore and improve tools, methods, and AI-enabled ways of working that strengthen content quality, speed, innovation, and impact at scale</li></ul>
Minimum Qualifications<ul><li>
12+ years of experience in content strategy, UX writing, content design, conversation design, or related experience design disciplines</li><li>
5+ years of people management experience leading and developing high-performing content strategy teams</li><li>
Demonstrated experience designing or leading agentic and conversational experiences, including AI-assisted, chatbot, assistant, or guided interaction models</li><li>
Proficiency with AI tools and workflows, and sound judgment in applying them to content creation, iteration, and governance</li><li>
Proven experience shaping content strategy for complex product ecosystems, digital experiences, or enterprise software environments</li><li>
Strong expertise in content design principles, information clarity, content systems, and customer-centered writing for product experiences</li><li>
Track record of influencing cross-functional partners and driving alignment across Design, Product, Engineering, and Research</li><li>
Strong systems thinking and the ability to connect content decisions across end-to-end journeys, platforms, and customer touchpoints</li><li>
Excellent communication and storytelling skills, with the ability to present strategy, rationale, and recommendations to senior stakeholders</li><li>
Experience using research, metrics, and qualitative insights to evaluate content effectiveness and improve customer outcomes</li><li>
Commitment to accessibility, inclusive language, and building trusted customer experiences</li><li>
Bachelor&rsquo;s degree in English, Communications, Human-Computer Interaction, Design, Journalism, or a related field, or equivalent practical experience</li></ul>
Preferred Qualifications<ul><li>
Experience in the AEC industry</li><li>
Passion for applying product design, AI, and content strategy to empower designers, makers, and builders</li></ul><div><div><div><div><div><div><div>
Learn More</div></div></div></div></div></div></div>
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/<div><div><div><div><div><div><div>
Salary transparency</div></div></div></div></div></div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $157,000 and $281,930. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity &amp; Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).</div>

Senior Manager, Content Strategy, AEC, Design Solutions

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

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