cover image
Everway

Everway

www.Everway.com

2 Jobs

321 Employees

About the Company

Unlocking the full potential of every person.

Listed Jobs

Company background Company brand
Company Name
Everway
Job Title
Salesforce Solution Architect
Job Description
Job Title: Salesforce Solution Architect Role Summary: Lead the architectural design and technical direction of Salesforce for Sales, Renewals, and Marketing functions. Ensure the platform is scalable, secure, and fully integrated with the broader enterprise ecosystem, providing a robust foundation for global growth and operational excellence. Expactations: - Deliver a clear architectural vision and roadmap aligned with enterprise standards. - Drive innovation through AI, automation, and data‑centric enhancements. - Provide technical leadership and mentorship across cross‑functional teams. - Maintain governance, standards, and best‑practice adherence for consistent delivery. Key Responsibilities: - Define and own Salesforce architectural vision and roadmap for Sales, Renewals, and Marketing cloud solutions. - Design scalable, secure, high‑performance solutions aligned with global rollout objectives. - Serve as technical design authority, ensuring consistency across patterns, guardrails, and frameworks. - Translate commercial and operational stakeholder needs into sustainable technical designs. - Oversee integration with ERP, data lake, analytics, and identity platforms. - Establish technical standards, best practices, and governance frameworks for platform consistency. - Collaborate with Security and Data teams to embed enterprise‑grade security, data protection, and compliance. - Leverage AI and automation tools (Einstein, Agentforce, Tableau, etc.) to optimize processes and enable data‑driven decisions. - Ensure platform readiness for future global rollouts, including localization, scalability, and performance. - Mentor and guide development teams to align with architectural intent and delivery excellence. Required Skills: - 5+ years as a Solution/Enterprise Architect in large‑scale Salesforce environments (Sales, Service, Marketing, Revenue Cloud). - Deep knowledge of Salesforce technologies: API integrations, Lightning, Flow, Data Cloud. - Enterprise architecture experience with integration design, data management, and global deployment standards. - Proven ability in designing secure, compliant, and scalable architectures for regulated or global organizations. - Experience with AI, automation, and practical application of agentic AI within Salesforce. - Strong communication, stakeholder management, and ability to bridge technical and business perspectives. - Familiarity with CI/CD, DevOps, cloud‑native principles, and marketing automation, CPQ or renewal management systems. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Salesforce certifications: Application Architect, System Architect, or Technical Architect (highly preferred).
United kingdom
Remote
Mid level
05-02-2026
Company background Company brand
Company Name
Everway
Job Title
Senior AI/ML Developer
Job Description
Job Title: Senior AI/ML Developer Role Summary: Engineer end‑to‑end AI solutions for educational products, deploying and monitoring LLM‑based features at scale. Expectations: Deliver production‑grade code, own full AI feature lifecycle, collaborate with product, engineering, QA, and infrastructure teams, maintain strict software engineering standards. Key Responsibilities - Own AI project lifecycle from ideation, data curation, model selection, to deployment and post‑launch evaluation. - Write clean, testable Python code and integrate AI models into existing product codebases. - Implement Model Context Protocol (MCP) to securely connect LLMs with proprietary data sources and internal tools. - Scope and build generative AI solutions using SaaS (OpenAI, Anthropic, Google, AWS Bedrock) and open‑source LLMs (Llama, Mistral). - Scale and monitor deployed AI models in collaboration with QA and infrastructure teams. - Participate in Agile development processes, defining sprints and delivering incremental value. Required Skills - 3+ years production ML/AI engineering experience. - Expertise in production‑grade Python, CI/CD, testing, containerisation, and cloud deployment. - Proven ability to deploy ML models at scale; full lifecycle experience (data, training, prompting, evaluation, monitoring). - Hands‑on with multiple LLM providers and open‑source LLM deployment/fine‑tuning. - Strong software engineering fundamentals, problem‑solving, and documentation skills. - Excellent cross‑functional collaboration and continuous learning mindset. Required Education & Certifications - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent practical experience). - Relevant certifications in cloud platforms or AI/ML (e.g., AWS Certified Machine Learning – Specialty) are desirable.
United kingdom
Remote
Senior
10-02-2026