Role Description The Network Team Lead will support the Technical Leads, Field Technicians, Project Management and Network Engineering team to carry out a best-in-class service in the deployment of networking hardware for Global customers. This position will require a combination of travel to various customer sites globally as well as remote support. Key Responsibilities - Understand and project the team culture - Build trust between team members - Inspire and motivate teamwork for achieving goals - Influence valuable changes - Be open to new ideas coming from team members - Consult frequently with key team members - Establish an open discussion for decision-making - Distinguish the team from others – create an identity for the team - Train new resource on EOS/client standards - Ensure all employees receive the appropriate training and education, including ongoing compliance training - Ensure compliance with established company and regulatory guidelines and procedures to provide high quality service and outstanding customer care - Practice cost improvement strategies, maintaining profitability and growth of area - Provide support to the PMO team in the correct selection of field resource to ensure successful project delivery - Implement location-specific and area quality goals and action plans in order to achieve quality standards - Provide informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent - Participate in the hiring of new field resource - Represent the EOS in meetings with Clients - Ensure Day and Project level documentation is completed - Train and uphold EOS Skills and Standards - Understand skillsets and properly assign technicians to project teams - Decipher complex Design Packs and appropriately convey questions or changes with Project Management - Work with Project Management to help assign technicians to projects - Troubleshoot and resolve issues in the network environment - Provide technical support through various means of communication - Collaborate easily with network engineers and project managers - Assist network engineers in the form of network design, implementation, and problem resolution - Support the onsite team to meet quality, productivity, turnaround time and other expectations - Any other ad hoc duties as reasonably required by the company and within the competency of the post-holder Qualifications - Must have experience leading teams - Must be able to read and understand SOP/DPKs to ensure everything is done correctly - Must be agile, and exhibit a strong sense of urgency - Must be responsive, efficient, have excellent customer interaction, and exhibit a high level of professionalism - The ideal candidate will not find difficult tech problems deterring or frustrating, but intriguing and will welcome the challenge - Good organization and time management skills with proven ability to manage multiple priorities - Good written and verbal communication skills - Must have critical thinking and problem-solving ability - Be flexible and adaptable to change and hours of work, to meet the needs of the customer - The ability to accurately communicate directions to technicians onsite or abroad - The desire to grow through learning and taking on new projects - Storied experience of networking hardware – routers, servers, switches, PDU’s, copper and fiber optic cabling - Excellent organizational, interpersonal, time management, written and oral communication skills - Hands on experience on Juniper routers/switches/firewall, Cisco L2/L3 switches and Aruba/Cisco wireless - Ability to read technical network diagrams, schematics and port maps - Ability to interpret rack build layouts and bills of materials - Previous experience in a similar role - Good understanding of networking concepts and a desire to build skills in this area - Candidate must be able to lift up to 50 pounds - Excellent analytical, problem-solving skills and strong attention to detail - Ability to diagnose advanced technical problems and find the root cause - Ability to work in and encourage fast paced and dynamic environment - Combination of at least 8 years’ Data Center Network Deployment experience or 8 years' experience in Network Engineering Deployments for large-scale networks in a corporate environment - Must be available to work outside of normal business hours - Must be available to travel to various customer sites within the US, and globally if required Desirable Criteria - 5+ Network Infrastructure deployment experience and 3+ Years EOS Network Infrastructure deployment experience - OR 4+ EOS Network Infrastructure deployment experience and a Qualifying Certification (CCNA, CDCTP, DCIS, etc) - OR a reasonable combination of these ideas - Bachelor's Degree/Associates Degree - CCNA / CDCTP / ECC / BICSI / DCIE Pay Range $75,000 — $95,000 USD Company Description EOS IT Solutions is a family run Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

Role Description The Generative AI Engineer designs, builds, and ships production-grade GenAI systems for our clients and our own platforms. You will work at the intersection of large language models, agent architectures, and cloud engineering on AWS, turning ambiguous problems into reliable, secure, and measurable AI solutions. You will partner closely with delivery teams and clients to move ideas from prototype to production. Key Responsibilities - Design and build LLM-powered applications and agentic systems using Amazon Bedrock, including Bedrock AgentCore and Bedrock Agents. - Architect and implement retrieval-augmented generation (RAG) pipelines, including chunking, embeddings, vector search, and reranking. - Develop prompt strategies, tool and function calling, and orchestration using frameworks such as LangChain or LlamaIndex. - Fine-tune and customize foundation models on Amazon SageMaker when business requirements call for it. - Define and implement evaluation, guardrails, and observability so AI systems are measurable, safe, and cost-aware in production. - Deploy and operate GenAI workloads on AWS using infrastructure-as-code, containers, and CI/CD. - Collaborate with delivery teams and clients to scope solutions, run discovery, and translate requirements into working systems. - Mentor engineers on GenAI patterns and contribute to reusable accelerators and internal platforms. Qualifications - 3+ years building software in production, with 1+ year of hands-on work building LLM or generative AI applications (professional, open-source, or substantial personal projects all count). - Strong Python skills for building AI applications, services, and automation. - Practical experience with LLM application development including prompt engineering, RAG architecture, and function/tool calling. - Hands-on experience with Amazon Bedrock; familiarity with agent runtimes such as Bedrock AgentCore or comparable agent frameworks, and with agent-to-tool standards such as the Model Context Protocol (MCP) or equivalent. - Experience with at least one vector store (OpenSearch, pgvector, Pinecone, Weaviate, or similar) and embeddings. - Comfortable working in AWS day to day, including IAM, Lambda, S3, and basic networking concepts. - Experience building and consuming REST APIs and integrating LLMs into existing systems, including authentication, asynchronous patterns, streaming, and error and timeout handling. - Sound judgment about handling sensitive and client data with AI systems, including PII, what may and may not be sent to a model, and basic data governance and compliance. - Able to work directly with clients and delivery teams to scope problems, run working sessions, and set realistic expectations about what generative AI can and cannot do. - Experience with Git-based workflows, containers (Docker), and shipping code through CI/CD. - Understanding of how to evaluate, guardrail, and monitor LLM systems for accuracy, safety, and cost. Extra Credit - Fine-tuning techniques such as LoRA, QLoRA, or PEFT, and model customization on SageMaker. - Machine learning fundamentals, feature engineering, and the model experimentation lifecycle. - Python ML and data libraries such as PyTorch, Hugging Face Transformers, scikit-learn, pandas, and NumPy. - MLOps tooling such as SageMaker Pipelines, Model Registry, or Feature Store. - Responsible AI practices including bias evaluation and explainability (for example, SageMaker Clarify). - Data engineering exposure such as SQL, AWS Glue, Athena, or Spark for preparing data that feeds AI systems. Core Competencies - Action Oriented – Takes on new opportunities and tough challenges with urgency, energy, and enthusiasm. - Tech-Savvy – Anticipates the impact of emerging AI technologies and adapts quickly as the landscape shifts. - Collaborates – Builds partnerships and works effectively with delivery teams and clients to meet shared objectives. - Communicates Effectively – Translates complex technical concepts for both technical and non-technical audiences. - Cultivates Innovation – Creates new and better ways for the organization and its clients to succeed. - Adaptable – Operates effectively in unfamiliar and imperfect client environments, inheriting existing stacks, accounts, and constraints rather than building from a clean slate. - Plans and Aligns – Scopes effort, estimates realistically, and makes sound tradeoffs to deliver on time and within budget on billable client work. Benefits - Flexible working hours and remote work environments. - Robust benefits package including medical, dental, vision, life insurance, disability insurance, and 401k matching. Additional Information Artisan is an equal opportunity employer and does not unlawfully discriminate on the basis of race, color, religion, gender, sexual orientation, sex, gender identity, gender expression, national origin, ancestry, age, medical condition, disability, veteran status, marital status or other prohibited factors under applicable federal, state, and local laws. This position requires constant operation of a computer, various software programs and other electronic productivity tools. This position requires prolonged observation of a computer screen. Additionally, it requires regular participation in virtual meetings and training. Artisan participates in e-Verify to confirm the employment eligibility of all new hires as part of our commitment to a compliant and secure workplace.

Role Description Gestalte mit uns die datengetriebene Zukunft. AI mit echtem Business Impact. Data & AI sind für uns kein Hype-Thema, sondern ein zentraler Bestandteil moderner Unternehmenssteuerung. Wir unterstützen unsere Kund:innen dabei, aus Daten echten Business Value zu schaffen – strategisch, technologisch und organisatorisch. Damit unsere AI Practice weiter wachsen kann, suchen wir dich als Head of AI (all genders). Du entwickelst unser AI-Portfolio weiter, führst ein wachsendes Team und gestaltest gemeinsam mit Kund:innen zukunftsfähige AI-Lösungen – von der Strategie bis zur produktiven Umsetzung. Die Rolle ist bewusst hands-on angelegt: Gesucht wird keine reine Managementrolle, sondern eine Führungspersönlichkeit mit operativer Nähe zu Projekten, Kund:innen und Team. Was du bei uns machen wirst: - Du berätst Kund:innen zu AI- und Datenstrategien, AI-Use-Cases und AI-Architekturen. - Du verantwortest anspruchsvolle AI-Projekte von der Konzeption bis zur produktiven Umsetzung. - Du entwickelst unser AI-Portfolio weiter und gestaltest neue Beratungsangebote mit messbarem Business Value. - Du unterstützt bei Angeboten, Ausschreibungen und Presales-Aktivitäten. - Du etablierst Standards, Methoden und Best Practices für erfolgreiche AI-Delivery. - Du führst und entwickelst unser wachsendes AI-Team fachlich, organisatorisch und disziplinarisch weiter. - Du sorgst dafür, dass AI-Lösungen wirtschaftlich sinnvoll, skalierbar und verantwortungsvoll umgesetzt werden. - Du repräsentierst Blueforte als AI-Expert:in bei Kund:innen und im Markt. Qualifications - Du hast mehrere Jahre Erfahrung im Consulting rund um Data, Analytics, AI oder GenAI gesammelt. - Du hast bereits erste Führungsverantwortung übernommen – z. B. fachlich, projektseitig oder disziplinarisch. - Du bewegst dich sicher zwischen strategischen Fragestellungen und technologischer Umsetzung. - Du verstehst, wie aus AI-Ideen produktive Lösungen mit echtem Mehrwert entstehen. - Du bringst idealerweise Erfahrung in Presales oder Business Development mit. - Du kennst relevante Themen rund um AI Governance, Responsible AI, AI Security und AI Compliance. - Du verfügst über ein gutes Verständnis moderner Data- und AI-Technologien – idealerweise im Umfeld von Microsoft Azure, AWS oder Databricks. - Du arbeitest sicher mit Python, SQL und gängigen Data-/AI-Frameworks. - Du kommunizierst souverän mit C-Level, Fachbereichen und technischen Stakeholdern. - Du denkst unternehmerisch und hast Lust, Dinge aktiv mit aufzubauen. - Du sprichst fließend Deutsch (mindestens C1-Niveau) und verfügst über sehr gute Englischkenntnisse. - Du bringst Reisebereitschaft für Kund:innentermine innerhalb Deutschlands mit (mind. 40 %). Benefits - #IMPACT - Gestalte den Aufbau aktiv mit. - #INNOVATIVE - Vielfalt statt Routine. - #MINDFLEX - Unternehmerisch denken ausdrücklich erwünscht. - #WORKLIFEFLOW - Flexibel, wie es zu dir passt. - #CAREERBOOST - Entwicklung endet nicht mit Führung. - #CULTURECONNECT - Hier zählt Teamgeist. - #POWERBREAK - Erholung, die zu dir passt. - #FITGESUND - Weil deine Gesundheit zählt. - #FAMILYTIME & #RESPONSIBLE - 10 Tage Kind krank mit vollem Gehalt, Kitazuschuss sowie nachhaltige Mobilitätsangebote wie Bahnfahrten 1. Klasse und ÖPNV-Zuschuss.

• Strategy — Refine the ICP, pricing model, and product positioning across freight brokerages, 3PLs, carriers, and warehouse operators • Customer Development — Lead pilots with mid-sized to enterprise freight brokerages, convert them to paid engagements, and build the go-to-market motion targeting Heads of Logistics, Supply Chain, and Operations • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback, with a focus on TMS and load board integrations, conversational AI quality, and autonomous workflow execution • Capital — Lead the seed raise, supported by FutureSight's network and traction • Team — Recruit and lead the founding team, and establish the cultural foundation of the company