• Design and define the end-to-end architecture for AI and machine learning solutions across the organization. • Lead the design, development, and deployment of scalable AI systems, including predictive models, generative AI, and intelligent automation. • Define AI platform architecture including data pipelines, model training environments, MLOps frameworks, and model deployment strategies. • Collaborate with data scientists, data engineers, and software engineers to translate business requirements into scalable AI solutions. • Evaluate and select appropriate AI/ML frameworks, tools, and cloud services to support enterprise AI initiatives. • Establish best practices for model development, governance, monitoring, and lifecycle management. • Design architectures for integrating AI capabilities into enterprise applications, APIs, and business workflows. • Ensure AI solutions meet requirements for performance, scalability, security, and compliance. • Lead technical decision-making related to model infrastructure, LLM integration, vector databases, and AI orchestration frameworks. • Drive the adoption of responsible AI practices, including model explainability, bias mitigation, and ethical AI principles. • Guide teams on AI architecture patterns such as RAG (Retrieval Augmented Generation), AI agents, and multi-model orchestration. • Support AI innovation by evaluating emerging technologies and identifying opportunities for competitive advantage.

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in Minneapolis, Minnesota (telecommuting from anywhere in the US allowed) to be responsible for defining and executing the company’s global AI and Generative AI strategy. The role integrates deep technical expertise in AI/ML with business acumen to design, deliver, and commercialize enterprise-grade AI solutions across industries. The incumbent will lead a distributed global team of AI Engineers and Data Scientists in the U.S., Eastern Europe, and Mexico to drive innovation, client success, and measurable business impact. Technologies - Python - SQL - Apache Spark - Databricks - Scikit-learn - TensorFlow - PyTorch - Azure - AWS - MLflow - CI/CD - Spark pipelines - NLP - Computer Vision - LangChain - LangGraph What You'll Do - Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO. - Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph. - Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection. - Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI. - Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale. - Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI. - Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark. - Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA). - Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations. - Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact. - Offer strategic vision and leadership to our global team of AI Engineers, Data Scientists, and Product Managers, establishing performance goals and delivery KPIs. - Collaborate with the CTO to set AI innovation and research agenda; evaluate emerging technologies such as LLMs, multi-modal AI, and Agentic AI platforms for commercial adoption. - Develop and enforce engineering best practices and quality standards for all AI/ML solution deployments. - Author white papers, case studies, present at conferences, and participate at expert panels and roundtables to establish the company’s position as an AI thought leader. - Maintain strategic partnerships with technology vendors and academic institutions to advance the AI solutions portfolio. - Report progress on AI initiatives, including financial and technical KPIs, directly to the CTO and executive leadership team. - Ensure adherence to Agile, Scrum, and SAFe frameworks for timely project execution. - Maintain continuous professional awareness of new technologies, security standards, and market trends relevant to AI engineering. Job Requirements - Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a related field - 10+ years of experience in AI, Machine Learning, Data Science, or Advanced Analytics - 5+ years of experience in technical or executive leadership roles - Strong experience developing, training, and deploying AI/ML models using Python, SQL, and modern ML frameworks - Proven experience building enterprise-grade predictive models (e.g., risk, quality, propensity models) - Deep understanding of statistical modeling and advanced analytics - Experience designing and delivering end-to-end AI platforms and production workflows - Hands-on experience with cloud platforms (Azure, AWS, Databricks) - Strong experience with MLOps practices (MLflow, CI/CD, pipelines) - Experience applying NLP and/or Computer Vision in real-world solutions - 2+ years of experience with Generative AI and orchestration frameworks (LangChain, LangGraph) - Experience leading teams of Data Scientists, ML Engineers, and AI practitioners - Strong experience in AI strategy, governance, and roadmap development - Ability to collaborate with executive stakeholders and drive ROI-focused initiatives - Experience presenting complex AI solutions to non-technical and C-level audiences - Experience implementing Responsible AI and data governance frameworks What Do We Offer The global benefits package includes: - Technical and non-technical training for professional and personal growth; - Internal conferences and meetups to learn from industry experts; - Support and mentorship from an experienced employee to help you professional grow and development; - Internal startup incubator; - Health insurance; - English courses; - Sports activities to promote a healthy lifestyle; - Flexible work options, including remote and hybrid opportunities; - Referral program for bringing in new talent; - Work anniversary program and additional vacation days.

Overview AskSage (BigBear.ai company) is seeking a Senior AI Engineer. This critical role involves designing, developing, and maintaining Generative AI Agents, MCP Servers, multi-agent orchestration workflows, and AI-powered tooling using Python and the Ask Sage platform. The ideal candidate will have strong prompt engineering skills, a deep understanding of Generative AI stacks such as OpenAI, Anthropic, MCP, Function tooling, etc., and a robust security background to ensure code is secure by default. Deep Experience with Generative AI and agent orchestration frameworks is required. Our FedRAMP High and DoD IL5, IL6 and Top Secret accredited cutting-edge technology enables teams to focus on strategic initiatives while we take care of the heavy lifting. We are seeking a highly skilled and experienced Senior AI Engineer with expertise in Python, generative AI, and Agent Orchestration. What you will do - Design, develop, and maintain Generative AI Agents, MCP Servers, and function tooling using Python and related frameworks. - Build innovative Generative AI features to help Ask Sage customers automate tasks and processes. - Implement best practices for code quality, security, and performance optimization. - Write clean, efficient, and maintainable code with a focus on security, data privacy, and secure-by-default patterns. - Continuous development of custom multi-agent framework and workflows to automate complex tasks and bring complex automation. - Stay up-to-date with the latest trends and advancements in Python development and Generative AI. - Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems. - Conduct code reviews and provide mentorship to junior developers. What you need to have - Minimum of 5 years of experience with Python Software Development. - Ability to obtain a Security Clearance - Strong Experience building Generative AI solutions, agentic AI systems, and multi-agent workflows. - Strong prompt & context engineering skills. · Experience with Microsoft Power Automate to design, build, and manage automated workflows and business processes. - Experience in building secure code with a strong understanding of security best practices (e.g., XSS, SQL injections). - At least 3 to 4 years of experience with flagship Generative AI provider APIs (Google VertexAI, AWS Bedrock, Microsoft Azure OpenAI) and models (OpenAI GPT, Anthropic Claude, Google Gemini). - At least 2 years of hands-on experience developing Generative AI Agents and Agent Orchestration Frameworks (OpenClaw, Claude Code, GPT Codex, etc). - Strong problem-solving and analytical skills. - Ability to work independently. What we'd like you to have - Experience with retrieval-augmented generation (RAG), vector databases (e.g., Weaviate, Pinecone, pgvector), and embedding pipelines. - Experience with PostgreSQL and SQLAlchemy. · Experience with Docker, Kubernetes, and CI/CD pipelines. - Experience with local LLM deployment, model fine-tuning, and Hugging Face. - Familiarity with LLM observability, evaluation frameworks, and cost/latency optimization. - Knowledge of government compliance frameworks (FedRAMP, NIST AI RMF, CMMC 2.0). About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

About the Role As an AI Engineer (Agentic Systems & LLM Applications), you will design, build, and scale production-grade agentic workflows and AI-driven applications. You will play a key role in shaping how intelligent agents operate across our platform—driving automation, insight generation, and decision intelligence for PR professionals. This role goes beyond implementation. You will contribute to system design, architecture decisions, and AI strategy, helping define how agents orchestrate complex workflows across data sources, APIs, and user interactions. You’ll work across both: - AI application layers (TypeScript, agent frameworks, orchestration) - Backend systems (Java, distributed data platforms such as Hadoop and Solr) Agility PR Solutions is building next-generation media intelligence capabilities powered by AI. Your work will directly influence how customers extract insights, automate workflows, and make decisions from large-scale media data. What you’ll do - Design and implement end-to-end agentic workflows for real-world use cases - Build and deploy AI-driven agents capable of reasoning, tool use, and multi-step orchestration - Develop application logic using TypeScript and modern AI frameworks - Leverage frameworks such as LangChain and LangGraph (or similar) to build robust agent systems - Integrate with LLMs, and external APIs - Design and implement RESTful services (Java) to support AI-driven capabilities - Define and enforce best practices for: - Prompt design and evaluation - Agent reliability and guardrails - Observability and debugging of AI systems - Collaborate with product and design to translate ambiguous requirements into scalable solutions - Optimize performance, cost, and reliability of AI workloads - Contribute to architectural decisions and technical direction - Mentor junior developers and contribute to team knowledge sharing What You'll Bring You should have practical experience with: - Agent frameworks (e.g., LangChain, LangGraph, or equivalent) - Prompt engineering and evaluation techniques - Designing multi-step workflows or orchestration systems Experience With - SQL and data modeling - Linux environments - Git, and modern development workflows - Maven - Familiarity with distributed systems or big data platforms (Hadoop, Solr, Spark, etc.) is an asset Strongly preferred: - Experience building agentic or workflow-based AI systems - Understanding of system design and scalability tradeoffs - Ability to work independently and take ownership of projects - Strong problem-solving and system design thinking - Effective communication across technical and non-technical stakeholders - Passion for AI, automation, and emerging technologies Why You'll Love It Here - Fully remote work environment - Collaborative culture – and key tools enabling it - Competitive compensation package - Health, Dental & Vision benefits - RRSP matching - Employee Assistance Program (EAP) - Career Development & Progression opportunities - Paid Vacation & Personal Days; and Sick days - Flex Fridays in Summer, Week off between Christmas and New Years' - No Meetings Fridays Compensation for this role is expected to fall within the range of $100,000-120,000 annually. The final offer will reflect each candidate’s experience, skills, and internal equity. This is for a vacant position AI Usage We use technology to make hiring smarter, faster, and more personal, never less human. Artificial intelligence (AI) tools help us manage applications efficiently and highlight qualifications that align with each role, allowing our recruiters to focus more on meaningful conversations with candidates. AI does not make hiring decisions at Agility. Every decision is made by people, our hiring managers and recruitment professionals, who are trained to apply sound judgment and equitable practices at every stage. We believe technology exists to amplify human insight, not replace it. That belief shapes how we build relationships, tell stories, and grow our teams. At Agility, we strive every day to build a more inclusive work environment and introduce tools that enable it. We strongly encourage applications from all people regardless of race, religion, gender, age, disability status or sexual orientation. Even if you find yourself not checking all the boxes of our listed requirements but you are excited about this opportunity, we'd love to hear from you anyway. Our Talent Acquisition team will review your application for this role, and other potential role matches open now or in the future. If, at any stage of the application process, you require accommodation owing to disability or a medical need, please let us know at careers@agilitypr.com for us to make appropriate arrangements. Thank you for your time in reviewing this opportunity, and we hope to hear from you should you find this the right fit!