M
Architect Standard III
Mindlance
🇺🇸 United States
On-site
Manager or above
2 months ago
- AI
- Azure
- Machine Learning
- Agile
- FastAPI
- CI/CD
- Git
2 months ago
Position Title:Architect Standard III
Duration:12 Months - Long Term
Location:Washington, DC 20433
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.
- BACKGROUND
- The primary objectives of this assignment are to:
- Identify and evaluate emerging AI and cloud technologies relevant to client business needs.
- Design and implement rapid proof-of-concepts to validate business and technical feasibility.
- Define enterprise architecture and production readiness requirements for selected solutions.
- Establish scalable, secure, and maintainable Azure-based solution architectures.
- Accelerate software delivery through the adoption of AI-assisted development practices .
- Provide architectural leadership throughout the solution lifecycle from ideation to production deployment.
- SCOPE OF WORK
- Conduct market research on emerging AI platforms, foundation models, AI agents, orchestration frameworks, developer tools, and enterprise AI products.
- Analyze vendor offerings, market trends, product maturity, security considerations, and implementation models.
- Design end-to-end solution architectures leveraging Microsoft Azure services.
- Define architecture patterns for AI, cloud-native applications, integrations, APIs, data platforms, and automation solutions.
- Ensure alignment with enterprise architecture, security, governance, and operational standards .
- Develop architecture artifacts, design documents, and implementation roadmaps.
- Integrate GenAI agents into the existing back-end codebase, APIs, and data pipelines.
- Ensure production readiness by addressing error handling, retries, idempotency, logging, and monitoring.
- Participate in the full software development lifecycle, from design and implementation to testing, deployment, and production support.
- Collaborate with business stakeholders to refine requirements and solution vision.
- Support project teams through architecture reviews, technical assessments, and implementation planning.
- Participate in architecture governance forums and design reviews.
- Mentor development teams on modern cloud and AI architecture practices.
- Participate in code reviews and contribute to shared engineering standards and best practices.
- Actively participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
- SKILLS / EXPERIENCE REQUIRED
- Bachelor’s degree or Masters degree in computer science, software engineering, or a related field.
- Minimum 10 years of experience in software engineering and solution architecture.
- Minimum 5 years of experience designing enterprise solutions on Microsoft Azure.
- Demonstrated experience evaluating emerging technologies and conducting technical market assessments.
- Proven track record of delivering proof-of-concepts and scaling them into production environments.
- Experience leading enterprise architecture and cloud transformation initiatives.
- Experience working in complex enterprise organizations and cross-functional teams.
- Strong grasp of production engineering concepts such as error handling, retry, idempotency, observability, and fault tolerance.
- Proficiency in building APIs using FastAPI or similar frameworks .
- Experience with CI/CD pipelines and Git-based version control workflows.
- Ability to work autonomously in ambiguous problem spaces and make sound engineering trade-offs.
- Excellent problem-solving, communication, and collaboration skills with the ability to work in multi-cultural teams across different time zones.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Architect Standard III · Mindlance