Role Description We are seeking a highly experienced and forward-thinking Agentic AI Architect to design and build next-generation AI systems for the banking and financial services sector. This role focuses on moving beyond static prompts into dynamic planning, reasoning, and autonomous execution—while ensuring strict compliance, security, and reliability required in financial environments. You will own end-to-end architecture for mission-critical AI systems in a high-impact, high-visibility setting. Key Responsibilities - Design and implement end-to-end architectures for agent-based AI systems tailored to banking use cases (e.g., underwriting, fraud detection, customer servicing, risk analysis) - Architect scalable and secure MLOps / LLMOps pipelines aligned with financial regulatory standards - Define frameworks for multi-agent coordination, including planning, memory, tool usage, and inter-agent communication - Design and implement Agent-to-Agent (A2A) communication protocols for distributed financial intelligence systems - Leverage Model Context Protocol (MCP) to standardize secure tool access, auditability, and context sharing across agents - Translate complex financial business problems into production-grade AI system designs with measurable outcomes - Evaluate and evolve the AI technology stack, including agentic frameworks (such as LangChain, LangGraph, Google ADK), orchestration layers, vector databases, and secure infrastructure - Ensure AI governance, explainability, audit trails, and compliance with regulatory requirements (e.g., model risk management, data privacy) - Build systems with strong observability, monitoring, and fail-safe mechanisms for high-stakes environments - Collaborate with business, risk, compliance, and technology teams to align AI capabilities with banking strategy - Mentor engineering teams and guide architectural decisions across AI initiatives Qualifications - 8+ years of experience in AI/ML systems, distributed systems, or enterprise architecture - Strong experience in banking, financial services, or fintech environments - Deep expertise in Large Language Models (LLMs) and real-world deployment in regulated industries - Strong programming expertise in Python for building scalable AI systems and services - Hands-on experience with cloud platforms (AWS, GCP, Azure) and secure infrastructure design - Proven experience in building and managing MLOps / LLMOps pipelines with governance controls - Strong experience with agentic AI frameworks, including LangChain, LangGraph, and/or Google ADK - Hands-on exposure to Agent-to-Agent (A2A) communication patterns and distributed agent coordination - Experience working with Model Context Protocol (MCP) or similar standards for secure tool integration and context management - Solid understanding of microservices, event-driven architectures, APIs, and data pipelines - Experience with vector databases, retrieval-augmented generation (RAG), and memory systems - Strong understanding of financial data security, privacy, and compliance requirements - Ability to think in systems: abstraction, trade-offs, scalability, and long-term evolution

Inside Sales Representative Location: Remote - Florida Working hours: DEUTZ is one of the world’s leading manufacturers of innovative drive systems. Its core competences are the development, production, distribution and servicing of diesel, gas and electric drivetrains for professional applications that is used in construction equipment, agricultural machinery, material handling equipment, stationary equipment, commercial vehicles, rail vehicles and other applications. Job Summary Job Title: Inside Sales Representative Reports To: Regional Sales Manager FLSA Code: Salary Exempt Position Summary The Inside Sales Representative will drive lead generation, customer engagement, and service-based revenue opportunities across two DEUTZ Power Centers (Georgia, Florida North). This pilot role is ideal for a B2B sales professional experienced in industrial or service-driven environments, skilled in prospecting, qualifying leads, and managing sales pipelines. The position reports to the Regional Sales Manager and may be performed remotely with occasional on-site collaboration. Essential Duties and Responsibilities · Conduct outbound calls and virtual outreach to identify, qualify, and nurture leads across assigned territories · Manage and track all sales activity within CRM tools (e.g., Microsoft Dynamics), ensuring accurate and up-to-date customer records · Execute structured call scripts while adapting messaging to customer size, needs, and industry segment · Collaborate closely with Service Sales Managers to coordinate outreach efforts and align with service capacity · Schedule and prepare qualified appointments for Service Sales Managers, including call notes and lead insights · Track and report daily activity metrics (calls, connects, leads, conversions) to the Regional Sales Manager · Share customer feedback and market insights to improve sales messaging and identify new service opportunities · Other Duties as Assigned Other Qualifications · Strong verbal and written communication skills, with a professional and engaging phone presence · Excellent organizational, time management, and prioritization skills · Resilient self-starter comfortable with performance targets and KPIs · Experience with CRM systems (e.g., Microsoft Dynamics) preferred · Ability to work independently while collaborating closely with distributed teams Supervisory Responsibility Individual Contributor Travel Requirements Anticipated domestic travel is less than 10% Minimum Requirements · 1–2 years of B2B inside sales or tele-prospecting experience, ideally within an industrial or service-oriented environment · Demonstrated experience in customer engagement, pipeline development, and conversion tracking · Proven ability to meet outbound activity and lead generation goals Preferred Requirements · Previous experience supporting fleet services, equipment, or maintenance-related industries · Familiarity with multi-location or regional sales environments · Data-driven mindset with experience using dashboards or reporting tools to track performance Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer · Must be able to lift up to 15 pounds at a time. EEO Statement DEUTZ is an equal opportunity employer and considers all applicants for employment based on merit, competence, performance, and business needs. We do not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their race, color, sex, gender identity or expression, age, religion, creed, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state, or local law. In addition to complying with all applicable laws, DEUTZ also has a strong corporate commitment to inclusion.

• Implement two small apps/plugins • Document Number Generator for managing sequential numbers • Knowledge Database for archiving AI chats, notes, and files

• Architecture and development of modular middleware • Integration of internal and external AI solutions • Development of a central semantic knowledge database • Provision of infrastructure or hosting (optional)