Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.
Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients,colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page:
WHAT YOU WILL DO
As a Senior Architect at Credera, you play a pivotal role in helping clients refine their technology vision and supporting the architects who execute it. You partner with Principal Architects on larger engagements to shape and deliver the solution, and you carry the architecture end to end on smaller engagements where you own the work. You recommend the most suitable technology approach, team structure, and skill mix to effectively capture and synthesize client requirements. You mentor and develop team members, fostering their growth and ensuring high performance.
Your responsibilities include supporting practice and company development through leading research and development initiatives, peer training, and creating reusable software development accelerators. You also partner with practice leadership on business development. Your work is outcome-focused: you inform, refine, and execute on the client's vision.
You ensure the quality and efficiency of technology implementation projects by applying Credera's best practices and industry standards. Leading one or more teams of skilled technologists, you provide the leadership, mentoring, and development needed to drive success.
On certain projects, you lead the design and build of agentic AI systems, with proper evals, guardrails, and retrieval-augmented generation (RAG) over enterprise knowledge using MCP, built on cloud-native agent platforms such as AgentCore, Bedrock, Strands, and Vertex. You tackle data challenges in service of business value, whether through traditional analytics or by preparing enterprise data to be retrievable and trustworthy for AI systems.
WHO YOU ARE