Senior Enterprise Application Architect

Senior Enterprise Application Architect

Duration: 6 Months - Long Term

Location: Washington, DC 200005 Hybrid Onsite: 2/3 Days onsite per week from Day1

The overall purpose of position: The Senior Enterprise Application Architect is responsible for assisting the Information Technology team with creating solutions and validating technology architecture for upcoming prioritized projects.

Scope of work:

• Collaborate with internal and contractor teams to evaluate existing systems, processes, and workflows to identify areas of improvement.
• Ensure seamless integration of new solutions with existing systems and infrastructure.
• Assist with architecture and framework design tailored to meet business needs.
• Provide strategic recommendations for AI adoption, including identifying use cases, tools, and technologies.
• Suggest enhancements or improvements to existing systems and recommend AI capabilities where applicable.
• Partner with business stakeholders, developers, and project managers to gather requirements and translate them into technical solutions.
• Provide technical leadership and mentorship to development teams, ensuring adherence to architectural best practices and standards.
• Act as a liaison between technical teams and business units to ensure alignment on project goals and deliverables.
• Validate architectural designs for new projects to ensure they meet performance, scalability, and security requirements.
• Conduct proof-of-concept (PoC) initiatives to test and validate new technologies, including AI models and AWS services.
• Communicate complex AI concepts and solutions, where applicable, to non-technical stakeholders.
• Monitor the performance of systems and continuously optimize them for accuracy, efficiency, and effectiveness.
• Proactively suggest enhancements and improvements to existing systems and processes to drive efficiency and business value.
• Stay updated on the latest advancements in AI technologies and methodologies to be able to effectively leverage AI for recommending improved solutions.

Essential skills:

• Strong expertise in designing and architecting solutions on platforms such as AWS, Appian, Salesforce and ServiceNow.
• Proficiency in cloud architecture, including AWS services such as Lambda, EC2, S3, RDS, and API Gateway.
• Proficiency in implementing applications involving Java, Python, R, Databases.
• Solid understanding of application design, data engineering and data modelling.
• Strong analytical and problem-solving skills with the ability to translate business challenges into effective solutions, aided by AI as applicable.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Qualification and experience:

• Ten (10) or more years of designing, architecting and implementing applications.
• Experience in designing and implementing solutions that leverage AI.
• Knowledge of ethical AI principles and practices.
• Deep understanding of agile methodologies and DevOps practices.
• Strong project management and organizational skills.
• Ability to work in a fast-paced, dynamic environment.

Education: Bachelor's degree (Masters Preferred) with a strong academic record.

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."