Role Description Ciklum is looking for an Expert Agentic AI Engineer to join our team full-time in the UK. As an Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: - Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models. - Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots. - Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines. - Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines. - [Expert Level Focus] Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members. Qualifications - 5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments. - Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels. - Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio). - Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution. - Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face). - Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML). - Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. - A formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred. Benefits - Strong community: Work alongside top professionals in a friendly, open-door environment. - Growth focus: Take on large-scale projects with a global impact and expand your expertise. - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications. - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies. - Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans. Company Description At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

Title: Senior AI Engineer Location: Rockville, MD Alexandria, VA Full time job requisition id R-00186145 Job Description: Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level. As a Senior AI Engineer, you will: - Support the development and operationalization of AI and agentic AI systems in production mission environments. - Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. - Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. - Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. - Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA). What You Bring: - Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree. - 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's). - Active Top Secret clearance and eligibility for TS/SCI with Polygraph. - Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms. - Track record of creative problem solving, active learning, and mission-focused outcomes. - Experience with the following: - AI/ML production engineering - LLMOps / MLOps - RAG architectures - AI orchestration frameworks - Kubernetes-based AI deployments - OpenAI-compatible APIs - Python development - GPU inference optimization Preferred Qualifications: - Experience supporting military or intelligence community customers. - Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing). - Familiarity with the following technologies - LangGraph - Semantic Kernel - vLLM - Ollama - Ray - NVIDIA GPU ecosystems - Vector databases If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

• Design and build cross-cutting AI services • Own the end-to-end product loop as a hybrid PM+Eng+Data builder • Create shared abstractions and tooling for AI • Shape our data and system architecture so AI can stitch together longitudinal signals • Lead by example in AI-augmented engineering

Opportunity Overview: Reporting to the Chief Digital & Technology Officer, the Vice President of AI Engineering & Agent Platforms will lead the teams responsible for AI platform engineering, agent platforms, agent runtime systems, skills and prompt lifecycle management and framework, AI infrastructure, MLOps/LLMOps, and forward deployed AI engineering. This role partners closely with the Chief Data & AI Officer, who owns Cohere's AI strategy, model development, evaluation frameworks, prompt design and governance, skills requirements and behavior, knowledge management frameworks, and data science functions. The VP of AI Engineering & Agent Platforms is responsible for operationalizing, scaling, deploying, and running those capabilities across Cohere's products and customer environments. This leader will build the platforms, engineering systems, and deployment capabilities that enable Cohere to rapidly deliver AI-powered solutions while maintaining the reliability, security, and compliance required in healthcare. What You'll Do:Build and Scale Our AI PlatformLead the engineering organization responsible for the foundational platforms and services that power Cohere's AI ecosystem. Responsibilities include: - AI infrastructure and runtime platforms - Agent orchestration, workflow, and execution services - Document processing and knowledge ingestion pipelines - MLOps and LLMOps capabilities - AI observability, monitoring, and reliability - Partnership with core teams to build AI native Developer platforms and engineering productivity tools - Build and evolve Cohere's enterprise agent platform, enabling teams to rapidly develop, evaluate, deploy, govern, and operate AI agents at scale. Lead Agent EngineeringBuild the frameworks, services, and reusable capabilities that enable teams to rapidly develop, test, deploy, and operate secure, observable, and production-ready AI-powered solutions. Areas of focus include: - Agent architectures, orchestration, and runtime frameworks - Multi-agent systems and workflow automation - Skills management and reusable action frameworks - Evaluation, testing, and agent observability infrastructure - Human-in-the-loop and supervised AI workflows - Enterprise integrations and action surfaces - Partnership in skills design with data science Design and scale the engineering systems used to build, manage, deploy, and govern reusable agent skills across healthcare workflows. Lead Prompt and Skills Lifecycle OperationsEstablish the platforms and operational capabilities required to manage AI behavior at scale. Responsibilities include: - Prompt lifecycle management - Prompt deployment and versioning - Prompt testing infrastructure - Skills deployment and governance - Agent configuration management - AI release management and rollback capabilities Scale a Forward Deployed AI Engineering OrganizationLead a team of customer-facing engineers responsible for deploying and operationalizing Cohere's AI solutions within customer environments. This organization partners closely with customers to: - Implement AI-powered workflows - Integrate with enterprise systems - Accelerate adoption and value realization - Establish repeatable deployment patterns that enable scale - Support complex customer implementations and transformations Drive Operational ExcellenceEstablish engineering best practices, platform standards, and operational processes that allow Cohere to scale AI safely and efficiently across customers, products, and healthcare workflows. Partner closely with Product, Clinical Operations, Customer Success, Security, and the Chief Data & AI Officer's organization to ensure AI capabilities move efficiently from concept to production. What you’ll need:Must-Haves - 15+ years of software engineering experience, including significant leadership responsibility - Experience leading large-scale platform, infrastructure, or AI engineering organizations - Proven track record building and operating cloud-native, data-rich products and platforms - Experience deploying AI-powered applications into production environments - Experience with AWS or other modern cloud-native technologies - Healthcare or other highly regulated industry experience - Deep understanding of distributed systems, platform engineering, and modern software architecture - Experience building and leading high-performing engineering teams Nice-to-Haves - Experience with generative AI, agentic systems, and AI platform development - Experience building agent platforms, skills frameworks, or AI developer platforms - Experience with MLOps, LLMOps, AI infrastructure, and developer tooling - Experience working directly with enterprise customers on complex technical implementations - Track record developing data-rich applications leveraging structured and unstructured data - Experience leading customer-facing engineering or forward deployed engineering organizations Leadership CharacteristicsThe ideal candidate is: - A platform builder who thinks in systems, scale, and reusable capabilities - Passionate about turning innovation into reliable, production-ready products - Customer-focused and outcome-oriented - Comfortable leading through rapid growth and organizational change - Equally effective in technical architecture reviews and executive discussions - Excited about helping define the future of agentic AI in healthcare This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. Pay & Perks: 💻 Fully remote opportunity with about 15% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $280,000 to $340,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Behavioral Interview(s) *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote