• Collaborate with product managers, engineers, and program managers to architect and manage solutions within Salesforce as well as adjacent technologies for the Contract life cycle management team. • Develop and maintain a holistic view of CRM-based processes and user personas to ensure your projects are compatible with upstream and downstream systems and processes. • Communicate regularly with a diverse group of stakeholders with different priorities and levels of technical acumen. • Lead projects end to end to improve the way our Go-To-Market and internal teams track and manage CPQ/CLM product, in partnership with the product owner and product manager. • Work with Product Managers to architect and implement solutions within Salesforce. Your work will include (but not be limited to) architecting automation and system behavior using Lightning Components, Apex, and Flow ensuring scalability, system health, and end user personas/experience. • Translate business requirements into technical solutions from a diverse group of stakeholders with varying priorities and levels of technical acumen. • Provide ongoing roadmap design and ownership in combination with the product owner and product manager. • Be an advocate for technology best practices and be a stakeholder representing technology.

Role Description We are looking for an AI Solutions Engineer who can design, build, and deploy production-ready AI solutions. This is not a research role. We are looking for someone who enjoys solving practical business problems using modern AI technologies and can work directly on client-facing AI projects. What You Will Work On: - Build AI-powered applications using modern LLMs and VLMs - Design and implement AI agents and multi-agent workflows - Develop Retrieval-Augmented Generation (RAG) systems - Integrate AI capabilities into existing business workflows - Build document intelligence and OCR-based solutions - Develop computer vision applications using modern vision models - Connect AI systems with APIs, databases, and third-party platforms - Optimize AI workflows for cost, speed, and reliability - Deploy and monitor production AI applications - Work closely with Product, Accounts, and Engineering teams Qualifications - 2+ years of hands-on AI engineering experience - Strong Python development skills - Experience with OpenAI, Anthropic, Gemini, or similar models - Experience building production-grade LLM applications - Strong understanding of prompting, tool calling, and agent workflows - Experience with RAG architectures and vector databases - Experience with Computer Vision projects - Experience with VLMs (GPT-4o, Gemini, Claude Vision, Qwen VL, etc.) - Experience integrating APIs and external systems - Familiarity with cloud deployment environments - Strong problem-solving and debugging skills - Strong written and spoken English Requirements - Nice To Have: - LangGraph - LangChain - LlamaIndex - n8n - Supabase - Pinecone - Weaviate - Qdrant - Docker - Azure AI - AWS Bedrock - Fine-tuning experience - MLOps experience Benefits - Success in this role is not measured by research papers or model training. - Success is measured by the ability to deliver reliable AI solutions that create measurable business value for clients. - You will own AI implementation from idea to production and help establish Vizio AI as a trusted AI delivery partner.

Role Description We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey. As an Agentic AI Solutions Architect, you will sit at the intersection of client strategy, data engineering, and applied AI. You will own the technical vision for how our clients use LLMs and agentic workflows to transform their operations — from first discovery conversation to production deployment. You'll split your time between being a trusted technical advisor to client stakeholders and rolling up your sleeves to design and ship end-to-end agentic architectures that deliver measurable ROI. Qualifications - 5+ years of experience in technical roles focused on software engineering, data integration, or analytics - Agency, consultancy, or client services background with a strong understanding of client delivery - Deep hands-on experience with data warehousing platforms such as Snowflake and BigQuery - Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs - Strong SQL skills and experience with data modeling - Proficiency in Python for scripting, data manipulation, and deploying AI / ML models - Proven experience working with AI / ML / LLM technologies in a data or workflow automation context - Client-facing experience including leading discovery sessions, presenting solutions, and managing stakeholder expectations - Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI / ML services - Understanding of Generative AI use cases and prompt engineering best practices - Strong written and verbal communication skills in English Requirements - Client-Facing Technical Leadership (50%) - Serve as the first point of contact for client technical requests and advanced automation needs - Lead client discovery sessions to identify high-leverage opportunities for AI, LLMs, and agentic workflows - Design integrated data and AI architectures connecting marketing platforms to data warehouses and LLM services - Present technical recommendations to client stakeholders, focusing on the ROI of automation and agentic systems - Troubleshoot integration issues, data discrepancies, and technical blockers across AI stacks - Build trusted advisor relationships: clients should see you as their go-to expert in AI and Automation - Solution Design & Implementation (50%) - Design end-to-end agentic data and workflow architectures: data sources → automation platform / LLM → actions / dashboards - Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal) - Design and deploy agentic workflows for automated marketing tasks, data quality checks, and predictive analytics - Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation - Collaborate with data engineering teams on MLOps and automation pipeline development - Document technical solutions, agent architecture patterns, and best practices for reusable deployment - Test and validate the accuracy and performance of automation and AI-driven outputs Benefits - Competitive salary and bonuses, including performance-based salary increases - Generous paid-time-off policy - Flexible working hours - Work remotely - Continuing education, training, conferences - Company-sponsored coursework, exams, and certifications

• Strong experience in solution design, system integration, data modeling, data migration, software configuration, testing, performance tuning, and enterprise application support. • Knowledge of ALM/PLM tools such as Polarion, RV&S, Jira, and DOORS, along with strong understanding of SDLC, CI/CD pipelines, deployment automation, and modern development practices. • Strong analytical and problem-solving skills, with the ability to assess complex requirements, troubleshoot issues, manage risks, and recommend practical, scalable solutions. • Clear communication, collaboration, and leadership skills, with the ability to engage technical and non-technical stakeholders, coordinate cross-functional workstreams, work independently, and contribute to an inclusive, globally aware team environment.