1 day ago
Atlanta, GA, USAStaff+
Base Salary
$144k - $176k/yr
Responsibilities
- Architect and deliver secure GenAI, agentic, backend, data-platform, and cloud solutions from prototype through production.
- Define standards and scaling patterns for agent orchestration, MCP services, deployment, monitoring, access control, guardrails, evaluation, observability, cost, latency, and reliability.
- Provide technical oversight to multiple development squads and coordinate solution leads, architecture reviews, roadmaps, standards, and cross-squad dependencies.
- Design public, proprietary, and third-party data onboarding and integration solutions, including reliable ETL/ELT pipelines and cloud storage and compute architectures.
- Develop and manage Kubernetes-deployed MCP endpoints, metadata logs, asset templates, technical documentation, governance, access controls, and compliance controls.
- Translate business requirements into reusable backend services and data-platform solutions across AWS and Azure.
- Conduct proofs of concept, define effective MVP scopes, evaluate emerging cloud and AI technologies, and validate platform enhancements.
- Act as a technical liaison with internal stakeholders, external data vendors, strategic partners, product owners, and engineering teams.
- Mentor teams, facilitate alignment, communicate architecture decisions, and help prioritize business problems and architectural work.
Requirements
- 10+ years of software or platform engineering experience, including data- and AI-focused roles, and 10+ years designing business-critical applications in multi-region or regulated environments.
- 7+ years as a hands-on developer, preferably in multitenant or SaaS environments, with demonstrated Solution Architect experience and reference-implementation development.
- At least 1 year of exposure to LLM-based business applications or agentic software development lifecycles.
- Strong backend programming experience, preferably with Python, plus SQL, API and microservice design, distributed systems, and data integration patterns.
- Expertise with agent patterns and LLM concepts including RAG, vector or graph databases, tool use, planning, memory, guardrails, and human-in-the-loop workflows.
- Experience building and managing MCPs, including registries, access control, versioning, performance, and cost controls.
- Experience with AWS or Azure cloud platforms, enterprise platform management, CI/CD, runtime monitoring, incident response, containerization, serverless systems, and Kubernetes.
- Experience designing scalable ETL/ELT pipelines and working with relational and NoSQL databases, data modeling, governance, catalogs, lineage, and data quality.
- Strong stakeholder management, communication, influence, analytical thinking, structured problem solving, prioritization, mentoring, and leadership skills.
- Experience using AI coding assistants such as Claude or Cursor for safe enterprise development.
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.
Benefits
- Base salary, annual discretionary performance bonus, retirement contributions, and a comprehensive benefits package.
- Zero-dollar health insurance premiums for employees and eligible family members, with dental and vision coverage.
- Gym and fitness reimbursement programs.
- Fully vested annual profit-sharing retirement contributions and access to a 401(k) plan.
- Paid parental leave and family benefits including adoption, surrogacy, and elective egg-freezing reimbursement.
- Paid time off including holidays, annual office closure, vacation, and paid sick time.
Categories
About BCG
Boston Consulting Group provides management consulting, technology, and design services to large enterprises, governments, and nonprofits, helping with strategy, digital transformation, and operations. The firm works on a project-based, fee-for-service model and also incubates products and ventures through BCG X. Founded in 1963 and headquartered in Boston, it is a global partnership with offices worldwide.