Title: AI Architect Claude Code Senior Developer - Job Opening IDBZ_772_JOB - Salary & Package$160K-$220K base, bonus, benefits - IndustryTechnology - Job TypePermanent - Skills RequiredAI, Agentic, Architect - Education/QualificationsIT Degree or Masters - CategoryApplication Development - Right to Work in CountryUSA Citizen - CityRemote USA - State/ProvinceAny - CountryUnited States - Zip/Postal Code10001 About Us Advisory, Executive Search, Senior Appointments, Interim Management Consultants Job Description AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype. We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale. The Mission Your mandate is to turn AI into a reliable operating system for the business. Work will progress across three levels: Level 1: Automate operational processes Level 2: Automate complex but binary workflows (clear right/wrong outcomes) Level 3: Apply AI to creative, non-binary work with verification, control, and measurement Success is defined by measurable wins, not impressive demos What You Will Do Architect and build agentic AI systems using Claude Code Design the AI harness, including: State management Context management (preventing context rot) Tool orchestration Error recovery strategies Verification and validation loops Failure reflection and learning Define SOPs and system logic before building agents Apply context engineering (ACE) so AI receives only what it needs — no more, no less Convert non-binary business problems into binary, measurable questions Ensure continuous improvement, performance tracking, and cost optimization Act as the bridge between product vision and technical execution Required Background Be US-based (remote within the US) Have a strong background as a software engineer / senior developer Have hands-on production experience with Claude Code Understand that AI ≠ chat Be able to clearly define a “win” and measure it Strong experience across: LLM & reasoning model fundamentals Agentic system design and orchestration APIs, integrations, data architecture, and security Python, TypeScript / JavaScript, SQL Cloud platforms (AWS, GCP, or Azure) How You Think Build systems and SOPs before agents Prefer principles over tools Avoid over-engineering Read source material, not shiny YouTube summaries Can deliver an actionable, measurable improvement within 48 hours Red flags we screen out: Vague specifications Tool or framework zealotry Cool demos that don’t survive production Research-only or academic profiles Over-engineered solutions Compensation & Benefits Bonus: 10–20% annual performance bonus Based on company results and individual system impact Benefits include: Medical, dental, vision insurance 401(k) with employer contribution Generous PTO and holidays Fully remote (US-based) Home office / equipment allowance Base Salary: $160,000 – $220,000 USD What Success Looks Like (6–12 Months) Multiple AI systems running in production High multi-step success rates across workflows Measurable operational or revenue impact AI treated as infrastructure, not experimentation

Title: AI Software Engineer Location: (Remote – United States, Canada) Full time Remote Job Description: Salary: $170K - $190K USD Role Overview Join a fast-growing company revolutionizing how science is communicated by enabling researchers to create professional scientific graphics quickly and easily. Often referred to as the Adobe or Canva for science, this company is on a mission to accelerate scientific discovery. With $17.04M in funding and a global presence, it is leveraging AI to further enhance its platform, ensuring scientists can visualize complex data with ease and precision. Responsibilities: Design and implement AI-powered solutions that enhance the scientific visualization platform. Collaborate with product and engineering teams to integrate AI into user-facing features and internal workflows. Develop scalable, AI-driven applications using modern JavaScript frameworks and Python. Optimize AI/ML models for performance, reliability, and scalability in production environments. Build APIs and implement AI/LLM-based solutions beyond basic coding assistants like Copilot or Cursor. Work across multiple codebases and technical domains without requiring extensive onboarding. Translate business requirements into technical solutions, ensuring seamless AI adoption in production workflows. Compensation: United States: ▪ $170K - $200K USD (Bay Area, Seattle, New York) ▪ $170K - $190K USD (Other US locations) Canada: ▪ $160K - $180K CAD Requirements: ✔ 7-12 years of full-stack software engineering experience, with expertise in JavaScript (modern frameworks) and Python. ✔ Proven experience integrating AI/ML models into production applications and AI-powered product development. ✔ Strong product engineering background, working closely with product teams on user-facing features. ✔ Preference for engineers who started in software engineering and later incorporated AI/ML into their work. ✔ Experience working on AI-native products, contributing to core functionalities. ✔ Familiarity with APIs for AI services (e.g., OpenAI) or experience implementing open-source models into production. ✔ Strong ability to explain technical concepts to non-technical stakeholders. ✔ Experience with cloud infrastructure (AWS preferred) for AI/ML-driven applications. Do Not Apply If You: Require visa sponsorship (H1B, TN, etc.). Have a history of frequent short tenures (job hopping). Have only worked in big corporations (Uber, Intel, etc.) without startup experience. Come from an IT consulting background (Infosys, Tata, Capgemini, Cognizant, Wipro, etc.). Graduated from coding bootcamps (Full Stack Academy, Hack Reactor, etc.). Have fake or misrepresented profiles.

Role Description Guidehouse Technology is seeking a motivated AI Software Engineer to join our growing team supporting federal clients. This role is ideal for an early- to mid-career technologist who is passionate about building secure, scalable, user-centric AI-enabled solutions that address complex government mission challenges. - Contribute to the design, development, testing, and deployment of AI-enabled full-stack web applications deployed on AWS. - Develop and maintain application components spanning frontend interfaces, backend services, APIs, workflow orchestration, and relational database layers. - Build and enhance accessible, user-friendly web interfaces using ReactJS and related frontend technologies, supporting Section 508 and usability standards. - Develop backend services using Java or Python, including RESTful APIs, business logic, integrations, unit tests, and support for microservices-based architectures. - Support the design and maintenance of RDBMS-based data models and SQL queries using technologies such as PostgreSQL, MySQL, or Amazon Aurora. - Implement workflow and process automation capabilities to support business and mission operations. - Develop data visualization and analytics features, including dashboards, charts, reports, and interactive UI components that support decision-making. - Support implementation of AI-enabled features such as intelligent search, chatbots, document processing, summarization, semantic search, or agent-assisted workflows. - Use Generative AI–assisted development tools, such as GitHub Copilot, Cursor, or Claude Code, for code generation, debugging, testing, refactoring, and documentation while following code quality and security practices. - Participate in a SAFe (Scaled Agile Framework) or Agile delivery environment, contributing to sprint planning, backlog refinement, demos, retrospectives, and cross-team coordination. - Support DevSecOps practices by using application security tools and processes, including SAST, DAST, SCA, dependency scanning, container scanning, and vulnerability remediation. - Contribute to CI/CD pipeline activities, including automated testing, security scanning, deployment automation, and compliance checks. - Participate in code reviews, technical design discussions, troubleshooting, documentation, and peer collaboration to improve software quality and maintainability. - Collaborate with cross-functional teams to prototype, iterate, and deliver scalable, secure, and maintainable solutions aligned to mission requirements. Qualifications - Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. - Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, OR Additional FOUR (4) years experience in lieu of Degree. - Minimum of TWO (2) years of professional software engineering experience, or a combination of professional experience, internships, academic projects, bootcamp experience, or equivalent hands-on development experience. - Working proficiency in Java or Python for backend development, including object-oriented programming, debugging, automated testing, and API development. - Hands-on experience with ReactJS, JavaScript, HTML, and CSS for modern frontend application development. - Experience or strong familiarity with building and deploying applications in cloud environments, preferably AWS. - Experience with RESTful APIs, version control using Git, collaborative development workflows, and basic microservices or distributed application concepts. - Experience with relational databases and SQL, such as PostgreSQL, MySQL, or Amazon Aurora. - Familiarity with accessibility principles and web interface development aligned with Section 508 and usability standards. - Interest in and practical exposure to AI-enabled software capabilities such as intelligent search, chatbots, document processing, analytics, summarization, or workflow automation. - Hands-on experience using or willingness to use Generative AI–assisted coding tools to support development, testing, refactoring, and documentation. - Basic understanding of secure coding, automated testing, CI/CD, DevSecOps, and application security concepts. - Ability to work effectively in an Agile or SAFe team environment and contribute to sprint-based delivery activities. - Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently on assigned tasks and seek guidance when needed. Requirements - Experience developing AI/ML-enabled applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, summarization, document processing, or agentic workflows. - Familiarity with AI frameworks or libraries such as LangChain, Haystack, Semantic Kernel, OpenAI-compatible APIs, or similar tools. - Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, Glue, CloudWatch, IAM, or Amazon Bedrock. - Exposure to modern data architectures, including data lakes, lakehouse patterns, federated query engines, or analytics platforms. - Experience with data visualization tools and libraries, such as D3.js, Plotly, Tableau, Amazon QuickSight, or similar. - Familiarity with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation. - Awareness of federal security and compliance standards, including FISMA, FedRAMP, NIST 800-53, or secure software development practices. - Exposure to application security and DevSecOps tools, including SAST, DAST, software composition analysis, dependency scanning, or container scanning. - SAFe, Agile, AWS, security, or AI-related training or certifications. - Demonstrated curiosity, adaptability, and commitment to continuous learning in AI-enabled, cloud-native software development. Benefits - Medical, Rx, Dental & Vision Insurance - Personal and Family Sick Time & Company Paid Holidays - Parental Leave - 401(k) Retirement Plan - Group Term Life and Travel Assistance - Voluntary Life and AD&D Insurance - Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts - Transit and Parking Commuter Benefits - Short-Term & Long-Term Disability - Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities - Employee Referral Program - Corporate Sponsored Events & Community Outreach - Care.com annual membership - Employee Assistance Program - Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) - Position may be eligible for a discretionary variable incentive bonus

• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works.