• Technical and operational responsibility for our Atlassian service stack (in particular Jira, Confluence and Jira Service Management) • Ensuring stable, secure and scalable operations as well as continuous development of the Atlassian platform • Advising on the implementation of processes and requirements and serving as a sparring partner for system owners, product owners, business units and IT management on equal terms • Collecting, evaluating and structurally implementing functional and technical requirements • Designing, customizing and optimizing Jira and Confluence setups (workflows, screens, fields, permissions, project and space structures) • Building and maintaining automations (e.g., Jira Automation, ScriptRunner) • Integration and configuration of common Atlassian Marketplace apps • Defining and establishing standards, governance rules and best practices for platform usage • Supporting teams in the efficient and effective use of Atlassian tools • Identifying optimization potential in operations, processes, licensing and costs • Creating clear technical documentation to ensure sustainable knowledge build-up.

• Develop complete control system design packages from concept through delivery, including wiring, component selection, PLC logic pathways, and system documentation. • Evaluate failures or outdated hardware (valves, PLC modules, field instruments, networked devices) and engineer modern replacements that integrate properly into DCS networks. • Assign, update, and document IP addresses, network parameters, and system configurations for replaced or upgraded devices. • Provide design packages to contractors—including drawings, specifications, and network mapping—to support installation, testing, and commissioning. • Support system modernization projects involving Westinghouse/Emerson Ovation, AP1000, or similar platforms by understanding how subsystems communicate across industrial networks.

Role Description We are hiring an AI Engineer to build production grade AI systems with a strong emphasis on agent architectures, LLM powered applications, and scalable API driven integrations. This role blends deep technical rigor with client facing collaboration. You will design intelligent agents, deploy robust AI services, and work directly with internal stakeholders and external clients to translate business problems into scalable AI solutions. This is a hands on builder role with real ownership and visibility. A Day in the Life - AI and Agent Systems - Design and implement AI agents capable of reasoning, planning, and tool use - Build multi step agent workflows with memory and state management - Develop production ready RAG systems with optimized retrieval and context handling - Fine tune and evaluate LLMs for domain specific use cases - Implement guardrails, validation layers, and structured output controls - Design evaluation frameworks for reliability, hallucination mitigation, and safety - Backend and Platform Engineering - Build scalable REST APIs to expose AI capabilities - Integrate AI agents with enterprise tools and third party systems - Design microservices and asynchronous systems for high throughput workloads - Optimize inference latency, reliability, and cloud cost - Implement monitoring, logging, and observability for AI services - Consulting and Client Engagement - Work directly with clients to understand business requirements and translate them into AI solutions - Lead technical discovery sessions and solution workshops - Communicate complex AI concepts clearly to non technical stakeholders - Provide architectural recommendations and implementation roadmaps - Support pilots, proofs of concept, and production rollouts Qualifications - Strong foundation in machine learning and deep learning - Deep understanding of transformers and modern LLM architectures - Hands on experience building agent based systems with tool calling and orchestration - Experience with embeddings, vector search, and retrieval systems - Proficiency in PyTorch or similar ML frameworks Requirements - Strong data structures and algorithms fundamentals - Solid system design and distributed systems knowledge - Proficiency in Python - Experience designing scalable APIs and backend systems - Experience with cloud platforms such as AWS or GCP Consulting and Soft Skills - Strong problem solving and structured thinking - Ability to balance technical depth with business impact - Clear and confident communication skills - Ability to influence stakeholders and drive alignment - High ownership mindset and bias for execution - Comfort working in fast paced and ambiguous environments Nice to Have - Experience in healthcare or regulated industries - Experience working in a consulting or client delivery environment - Experience leading small technical workstreams or mentoring junior engineers Benefits - Generous Paid Time Off: Recharge and relax with 22 days of fixed time off per year, in addition to company holidays—because we believe work-life balance fuels performance. - Best-in-Class Parental Leave: Spend quality time with your growing family. We offer one of the industry’s most generous parental leave policies to support you during life’s most important moments. - Recognition & Rewards: We celebrate wins—big and small. Get rewarded with monetary incentives and company-wide recognition for your impact and dedication. Your hard work won’t go unnoticed. - Comprehensive Insurance Coverage: Stay covered with medical, dental, and vision insurance, plus 100% company-paid short- and long-term disability and basic life insurance. Optional perks include discounted legal aid and pet insurance.

• Configure, manage, and maintain Palo Alto Next-Generation Firewalls (NGFW) and Panorama. • Create and enforce security policies, including NAT, rules, VPN, and URL filtering. • Identify and resolve network security, traffic inspection, and connectivity issues. • Deploy security solutions (intrusion detection/prevention) to protect data centers. • Utilize scripting (Python, bash) and API integration to automate tasks and optimize configurations. • Ensure adherence to industry best practices and maintain compliance documentation