• Provide engineering and operational support for Aspect and Intradiem technologies within an enterprise environment. • Responsible for incident response, problem management, and change execution, including evening and weekend support coverage. • Collaborate with vendors, developers, and engineering teams to ensure the reliability and continuous improvement of contact center applications. • Proactively monitor and perform daily health checks of Aspect and Intradiem applications. • Troubleshoot and resolve production issues impacting scheduling, forecasting, real-time adherence, or intraday workforce automation. • Execute system changes, configuration updates, and release deployments while maintaining strict change-control discipline. • Serve as a subject matter expert (SME) for Aspect Workforce Management and Intradiem automation.

• Classify and document incoming application support tickets by severity, urgency, and category. • Resolve client issues by analyzing logs, running SQL queries, and reviewing application behavior. • Prioritize and manage tickets by maintaining SLAs and escalating when necessary. • Resolve tickets across a minimum of 5 product categories with sufficient depth, while having the capability to manage tickets across all product categories. • Collaborate with internal teams by escalating complex issues with clear diagnostics and context. • Escalation point for lower-level engineers, aiming to assist lower-level engineers in resolving tickets without formal handoff when possible. • Enhance the knowledge base by documenting resolutions and creating troubleshooting procedures. • Contribute to release readiness by validating application updates and participating in deployment support. • Improve client experience by maintaining empathy and professionalism during technical investigations. • Participate in on-call rotations by supporting after-hours high-severity incidents. • Assist in monitoring environments by reviewing alerts, logs, and dashboards to identify issues proactively. • Identify recurring issues by conducting root cause analysis and recommending permanent fixes.

Role Description We are seeking a Field Application Engineer (NAM) to support and drive customer engagements with leading Industrial, Automotive, and Integrated Device Manufacturer (IDM) customers across North America. This is a customer-facing, technical individual contributor role, responsible for enabling design wins by bridging customer requirements with MIPS’ product portfolio, including processor IP, software tools and custom silicon solutions. Essential Responsibilities: - Your Job Customer Technical Engagement - Act as the primary technical interface for customers during pre-sales and early development phases. - Support customer engineering teams in evaluating and adopting MIPS solutions. - Provide hands-on technical guidance on: - Processor IP integration - Software toolchains and development environments - System architecture considerations - Design-In & Design Win Support - Drive design-in activities at assigned customers and design houses. - Support technical discussions to secure design wins for: - CPU IP licensing - Custom silicon programs - Software solutions - Assist customers in transitioning from evaluation to implementation. - Solution Enablement Help Customers Understand and Implement MIPS’ Value Proposition - Open RISC‑V architecture flexibility. - Multi-threaded, high-performance compute. - Functional safety-ready solutions. - Support system-level optimization for performance, power and cost. - Technical Problem Solving - Troubleshoot and resolve customer technical issues across hardware and software domains. - Work closely with internal engineering teams to escalate and address complex challenges. - Ensure timely resolution of customer issues to maintain project momentum. - Collaboration with Sales & Business Development - Partner with Business Development to support opportunity creation and closure. - Provide technical input to proposals, RFIs, and customer presentations. - Translate customer requirements into actionable feedback for product and engineering teams. - Ecosystem & Market Support - Support engagement with ecosystem partners (software, EDA, design services). - Participate in customer workshops, demos, and industry events. - Help position MIPS solutions within the broader semiconductor ecosystem in NAM. - Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. Qualifications - Bachelor's/Master's degree in an engineering discipline or similar. - 3+ years in Field Application Engineering, Applications Engineering or Design Engineering. - Experience in Semiconductor IP, SoC/ASIC development, or embedded systems, Industrial, Automotive, or IDM electronics or related markets. - Proven track record supporting customer engagements and design wins. - Strong understanding of Industrial, automotive, or IDM electronic architectures (MCUs, SoCs, domain/zonal controllers). - Familiarity with: - Processor architectures - Embedded software development (compilers, SDKs, OS) - System-level design and integration - Strong customer-facing communication and problem-solving skills. - Ability to operate independently in a field-based role. - Hands-on technical mindset with strong debugging capability. - Ability to bridge technical depth with customer business needs. - Fluent in English. Preferred Qualifications - Experience with RISC‑V ecosystem or CPU IP integration. - Prior experience supporting industrial, automotive, or IDM customers in NAM. - Experience with custom silicon or SoC development flows. - Understanding of functional safety standards or design requirements in Industrial & Automotive markets. Expected Salary Range $130,000.00 - $227,000.00. The exact Salary will be determined based on qualifications, experience and location.

Role Description Join our team as an AI Engineer to design and deliver AI based solutions for a web-based workflow application for the Federal Government. You will learn customer business workflows, refine business use cases that can leverage AI enablement and build cutting-edge AI solutions that directly result in productivity increase, enhanced user experience and cost savings. You will work with cross-functional teams to develop AI-enabled features, build Proof of Concept (POC) for agentic solutions and translate it into Production Ready systems. You will utilize latest AI tools to develop AI chatbots, Agentic workflows, intelligent dashboards and application assistants. Only US citizens need to apply. (Non-Citizens and Visa Candidates need not apply) Geographic location – Strictly from EST and CST time zones only. Responsibilities - Design and develop AI-enabled features for web-based workflow applications using LLMs, GenAI, and agentic AI patterns - Build RAG pipelines using application data, policy documents, user manuals, help cards and business process publications. - Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for AI based application assistants. - Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Bedrock). - Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation. - Establish LLM observability (cost, latency, quality) and responsible AI guardrails (hallucination detection, output validation, CUI safeguards). - Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python and Java) - Address security vulnerabilities and ensure compliance with cybersecurity standards. - Participate in code reviews, CI/CD pipelines, and collaborative development workflows. - Document technical implementations and stay current with AI and ML developments. Qualifications - Bachelor’s degree in computer science, Data Science, Mathematics, or related STEM field. - 5+ years of experience with software implementation across all aspects of the SDLC - 1+ years of hands-on experience developing generative AI / LLM-powered applications - Expert-level proficiency in Python; strong JavaScript proficiency - Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Bedrock) - Experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts) - Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar - Experience with RAG architecture, agentic patterns, and vector databases - Strong understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering, NLP) - Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn, or equivalent) - Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP) Requirements - Proficiency with Git version control and CI/CD pipelines - Strong written and verbal communication skills Benefits - A culture of integrity. - An environment of trust. - A focus on continuous growth. - Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Pay Range The proposed salary range for this position is: $75,200-$158,100 Company Description CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.