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Senior Enterprise Application Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: Mindlance
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    IT Consultant, AI Engineer, Systems Analyst, Systems Engineer
Job Description & How to Apply Below

Overview

Title
:
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.

Responsibilities
  • Analyze current systems, identify opportunities for AI-driven innovation, and recommend enhancements or improvements to optimize business operations, improve efficiency, and drive value.
  • 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 Service Now.
  • 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 Dev Ops 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.

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Position Requirements
10+ Years work experience
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